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Mohammed A.

Product Engineering Leader | Agentic AI Transformation Architect | Scaling 0→1 & 1→100 | Drove $100M+ Revenue Growth | Optimize Processes, Multi Agent Orchestration, RAG & AIOps | AJIO • Tesco • Publicis Sapient • HERE

Greater Bengaluru Area

20+ years of work experience

Aug 20251 yr 3 mosPresent

Anywhere

Al transformation strategy and governance through multi-agent RAG architectures and Al strategic governance. @Healthtech Startup (APAC, USD 10m): Architected and built a RAG-based Agentic Al platform using LangGraph, Temporal Workflow, Temporal Activity, and multi-agent orchestration. Enforced ethical checks with NeMo Guardrails to ensure reliable medical diagnostic assistance. @Fintech Consultancy (USA, >USD 100m): Architected robust multi-agent frameworks, utilizing CrewAl for automated investment portfolio rebalancing with integrated compliance and user-approval workflows, and AutoGen for executing complex tax-loss harvesting strategies with automated audit-trail generation. Orchestrated using Temporal Workflow/ Activity for high-reliability state management. RAG via MongoDB Vector Search + Cross-Encoders and applied RLHF feedback loops using TRL to optimize compliance-validated workflows. @Petcare Startup (India): Architected and built a RAG diagnostic system for pet behavior, utilizing Guardrails Al to prevent model toxicity. Al-First Ecosystem, K8s & AIOps: Standardized developer toolchains using Cursor, GitHub Copilot, and Claude Code/ Copilot. Designed self-healing GitOps loops using K8sgpt to auto-analyze cluster exceptions and trigger remediation PRs via GitHub Actions. Deployed predictive token-aware autoscaling using KEDA and Prometheus/Dynatrace. Context, Memory & Caching: Architected stateful multi-agent workflows using LangGraph, Temporal Workflow/ Activity for session awareness & RAG pipelines (MongoDB/ElasticSearch) for persistent long-term memory; optimized latency via Redis and Semantic Caching (GPTCache/ LangChain) to reduce LLM overhead, validated via RAGAS/ DeepEval. Model Evaluation & Infrastructure Automation: Built rigorous eval pipelines with RAGAS, DeepEval, and LangSmith. Configured serverless GenAl orchestration through AWS Bedrock (and Azure OpenAl), implementing automated model request autoscaling and fallback thresholds.
Sep 202411 mosJul 2025

Bengaluru

A few weeks back, life took a turn and within just about 12 hrs, almost overnight, my younger daughter, Sumayyah was in ICU with DKA and as a result was diagnosed with an autoimmune condition, T1D. We never saw this coming, not with her infectious energy and bubbliness and broken speech yet a constant talking one. She touched death and came back during her ICU stay. We needed time to get her back up to functionally sound physical and mental health post hospitalisation. We also needed to understand and implement 1. regimens for effective continuous glucose monitoring and management, 2. build a dictionary of food based on glycemic indices, nutritional content, weight and timing of food, 3. insulin dosages and frequencies (almost 4 to 5 times every day) (2 types - long and short acting insulins daily), 4. understanding of effect of cortisol at different times of the day, 5. immediate and effective response when sugars trend towards periluous lows due to insulin peak times, activity levels, different GI of foods, cortisol effects and female hormone responses differently at different times of a month, perilously low sugars being life threatening in immediate term. We are happy our daughter is back now to almost normal functioning after months of declined health though she is insulin and glucose monitoring sensor dependent for life. She now requires lesser involvement in monitoring her sensor values, food, activity and wellbeing but not without continual daily oversight.
Publicis Sapient
Jun 20231 yr 3 mosAug 2024

Bengaluru

• Built a SAAS/ genAI salesTech product using microservices architecture for sales & staffing from scratch complete with integrations with salesforce & OFS systems for Publicis Sapient with potential GTM strategy as part of the DBT (Digital Business Transformation) with ~ EURO 5M investment. • Built genAI based searches and matching of roles and candidates and decision making in AI based interviews using langchain4j, LLMs/ SLMs leveraging mongodb/ pinecone vector store & search. Used AI Ops like dynatrace, prometheus & copilots for test data, testcases and code generation • Operational excellence & best practices evangelization. Strategy prep and working with the exec leadership. Standardizing processes and architectures for operational and engineering excellence leveraging genAI for best practices like refactoring and test automations working with a team of about 100+ folks (Onshore+ Offshore) comprising Senior Engg Directors, Senior Engg Managers, Devops, QA, Product Managers, Program Managers, Tech Architects, Strategy Specialists and their respective teams. • Technologies - Microservices on Azure Cloud using Dockers and technologies like Java, Spring Boot, Hibernate, Kafka, Kubernetes, Lamgchain4j, Huggingface LLM/SLM, MongoDB vector store, Elastic search, Oracle, Selenium, Data bricks, Apache spark. • Built and reviewed an annual strategy with program & product. Worked with business and product management to strategize and develop annual operating plans, roadmaps. Owned architecture and design, delivered product features, data modeling, champion best practices, monitored system metrics like code coverage, api/app latencies, build and release metrics. • Leader coaching, career development, handle recruitment budgets, scale teams. • Identifying opportunities, driving Innovation in team and bootstrapping projects. Define OKRs and KPIs. • AOP strategy, roadmap development and Capacity Planning, OpEx budgeting.
AJIO.com
Dec 20211 yr 7 mosJun 2023

India

Senior Leader at B2B buyer platform and supply chain management. The B2B unit has an annual revenue of around USD 300 M+. Annual strategy building, building teams, software and championing engineering best practices in the org for operational excellence. Owning system architectures and solutionise to design systems for scale. Review critical pieces of code. Strategy for architecting, delivering value to the product, hiring, AOP, delivering outcomes and defining targets and goals for customer focused delivery. Optimised engineering processes delivering software products at scale against meaningful timelines for the engineering, product and business as a whole.
Tesco
Dec 20192 yrsNov 2021

India

Engineering Management and Software Development leadership in the loyalty BU with teams working across India, Thailand, UK at the loyalty BU affecting Lotus, Tesco, Star Bazaar et all. Hands-on software development leadership building and owning microservices based distributed systems architectures and building teams for software development. Championing engineering best practices across loyalty BU for operational excellence. AOP contributions, budgeting, recruitment, architecture ownership and optimised engineering processes delivering software products at scale with meaningful timelines for the engineering, product and business as a whole directly impacting customer experience and scaling metrics like average revenue, TAT, average user base, average transaction conversion ratios.
HERE Technologies
May 20181 y 4 moSep 2019

Mumbai

Various Companies
Aug 200512 y 8 moApr 2018

India (Brief US visit on work)

Mohammed’s AI Stack

cursor
cursor
langchain
langchain
langgraph
langgraph
langsmith
langsmith
githubcopilot
githubcopilot
huggingface
huggingface

Education

National Institute of Technology Karnataka

Bachelor of Engineering - BE, Electronics and Communications Engineering

National Institute of Technology Karnataka

20052005

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Mohammed A. on Tal

Headline

Product Engineering Leader | Agentic AI Transformation Architect | Scaling 0→1 & 1→100 | Drove $100M+ Revenue Growth | Optimize Processes, Multi Agent Orchestration, RAG & AIOps | AJIO • Tesco • Publicis Sapient • HERE

About

​Engineering Leader | Agentic AI Transformation, Strategy and Cloud Architecture | Team modernisation for automation first, AI first engineering, code & tests generation, agenticAI and RAG usage. ​With nearly 20 years of experience in the technology sector, I specialize in building high-performing engineering units from scratch and modernizing product ecosystems through GenAI thought engineering, Agentic AI, and AIOps. My career is defined by a transition from traditional software leadership to architecting autonomous, multi-agent systems that drive multi-million dollar topline growth. ​🚀 Key Projects & Strategic Impact • ​HealthTech (Asia Pacific): Architected a RAG-based Agentic AI orchestration system for a SaaS platform serving 500,000 customers. Implemented ethical security layers and local data hosting to eliminate hallucinations. Revenue: $10M. • ​FinTech Consultancy (USA): Led a 50-person team to revamp architecture into a Multi-Agent framework. Developed session-based context history to optimize decision-making across complex compliance, audit, and wealth data. Revenue: >$100M. • ​PetTech (India): Designed a pilot Agentic RAG system to analyze pet behavior parameters for automated wellbeing diagnostics. Revenue: <$1M. ​🛠 Technical Specialization ​I own the end-to-end architecture and design of: • ​Agentic Frameworks: Custom orchestration using Manager/Worker, Swarm patterns, and Micro-Agent platforms. • ​AI Stack: Expert implementation using LangGraph, AutoGen, LangChain4j, LLMs/SLMs, and MCP servers. • ​Memory & Security: Long-term memory management via Pinecone and MongoDB, tied to SessionIDs for persistent user context and ethical model sanitization. • ​AIOps & Automation: Leveraging Claude Code, GitHub Copilot, Dynatrace, and Prometheus for automated test data, code generation, and p99 monitoring. ​📈 Leadership & Scale ​I bridge the gap between deep technical design and business growth: • ​Team Building: Proven success in scaling teams from 0 to 1 (greenfield) and driving innovation in brownfield projects (1–10+ members). • ​Business Growth: Managed budgets for units generating $1M to $100M, directly affecting sales through product roadmaps that optimize user conversion and resolution TAT. • ​Mentorship: Defining engineering OKRs/KPIs, creating career frameworks, and coaching the next generation of technical leaders. Gentic AIprompt

Location

Greater Bengaluru Area

AI stack

cursor

langchain

langgraph

langsmith

githubcopilot

huggingface

Work experience

Fractional Lead -Tech /CTO at Fractional Jobs, Aug 2025 - Present · 1 yr 3 mos, Anywhere, Al transformation strategy and governance through multi-agent RAG architectures and Al strategic governance. @Healthtech Startup (APAC, USD 10m): Architected and built a RAG-based Agentic Al platform using LangGraph, Temporal Workflow, Temporal Activity, and multi-agent orchestration. Enforced ethical checks with NeMo Guardrails to ensure reliable medical diagnostic assistance. @Fintech Consultancy (USA, >USD 100m): Architected robust multi-agent frameworks, utilizing CrewAl for automated investment portfolio rebalancing with integrated compliance and user-approval workflows, and AutoGen for executing complex tax-loss harvesting strategies with automated audit-trail generation. Orchestrated using Temporal Workflow/ Activity for high-reliability state management. RAG via MongoDB Vector Search + Cross-Encoders and applied RLHF feedback loops using TRL to optimize compliance-validated workflows. @Petcare Startup (India): Architected and built a RAG diagnostic system for pet behavior, utilizing Guardrails Al to prevent model toxicity. Al-First Ecosystem, K8s & AIOps: Standardized developer toolchains using Cursor, GitHub Copilot, and Claude Code/ Copilot. Designed self-healing GitOps loops using K8sgpt to auto-analyze cluster exceptions and trigger remediation PRs via GitHub Actions. Deployed predictive token-aware autoscaling using KEDA and Prometheus/Dynatrace. Context, Memory & Caching: Architected stateful multi-agent workflows using LangGraph, Temporal Workflow/ Activity for session awareness & RAG pipelines (MongoDB/ElasticSearch) for persistent long-term memory; optimized latency via Redis and Semantic Caching (GPTCache/ LangChain) to reduce LLM overhead, validated via RAGAS/ DeepEval. Model Evaluation & Infrastructure Automation: Built rigorous eval pipelines with RAGAS, DeepEval, and LangSmith. Configured serverless GenAl orchestration through AWS Bedrock (and Azure OpenAl), implementing automated model request autoscaling and fallback thresholds.

Caregiver for my critically ill Daughter at Break, Sep 2024 - Jul 2025 · 11 mos, Bengaluru, A few weeks back, life took a turn and within just about 12 hrs, almost overnight, my younger daughter, Sumayyah was in ICU with DKA and as a result was diagnosed with an autoimmune condition, T1D. We never saw this coming, not with her infectious energy and bubbliness and broken speech yet a constant talking one. She touched death and came back during her ICU stay. We needed time to get her back up to functionally sound physical and mental health post hospitalisation. We also needed to understand and implement 1. regimens for effective continuous glucose monitoring and management, 2. build a dictionary of food based on glycemic indices, nutritional content, weight and timing of food, 3. insulin dosages and frequencies (almost 4 to 5 times every day) (2 types - long and short acting insulins daily), 4. understanding of effect of cortisol at different times of the day, 5. immediate and effective response when sugars trend towards periluous lows due to insulin peak times, activity levels, different GI of foods, cortisol effects and female hormone responses differently at different times of a month, perilously low sugars being life threatening in immediate term. We are happy our daughter is back now to almost normal functioning after months of declined health though she is insulin and glucose monitoring sensor dependent for life. She now requires lesser involvement in monitoring her sensor values, food, activity and wellbeing but not without continual daily oversight.

Head of Engineering at Publicis Sapient, Jun 2023 - Aug 2024 · 1 yr 3 mos, Bengaluru, • Built a SAAS/ genAI salesTech product using microservices architecture for sales & staffing from scratch complete with integrations with salesforce & OFS systems for Publicis Sapient with potential GTM strategy as part of the DBT (Digital Business Transformation) with ~ EURO 5M investment. • Built genAI based searches and matching of roles and candidates and decision making in AI based interviews using langchain4j, LLMs/ SLMs leveraging mongodb/ pinecone vector store & search. Used AI Ops like dynatrace, prometheus & copilots for test data, testcases and code generation • Operational excellence & best practices evangelization. Strategy prep and working with the exec leadership. Standardizing processes and architectures for operational and engineering excellence leveraging genAI for best practices like refactoring and test automations working with a team of about 100+ folks (Onshore+ Offshore) comprising Senior Engg Directors, Senior Engg Managers, Devops, QA, Product Managers, Program Managers, Tech Architects, Strategy Specialists and their respective teams. • Technologies - Microservices on Azure Cloud using Dockers and technologies like Java, Spring Boot, Hibernate, Kafka, Kubernetes, Lamgchain4j, Huggingface LLM/SLM, MongoDB vector store, Elastic search, Oracle, Selenium, Data bricks, Apache spark. • Built and reviewed an annual strategy with program & product. Worked with business and product management to strategize and develop annual operating plans, roadmaps. Owned architecture and design, delivered product features, data modeling, champion best practices, monitored system metrics like code coverage, api/app latencies, build and release metrics. • Leader coaching, career development, handle recruitment budgets, scale teams. • Identifying opportunities, driving Innovation in team and bootstrapping projects. Define OKRs and KPIs. • AOP strategy, roadmap development and Capacity Planning, OpEx budgeting.

Director of Software Engineering at AJIO.com, Dec 2021 - Jun 2023 · 1 yr 7 mos, India, Senior Leader at B2B buyer platform and supply chain management. The B2B unit has an annual revenue of around USD 300 M+. Annual strategy building, building teams, software and championing engineering best practices in the org for operational excellence. Owning system architectures and solutionise to design systems for scale. Review critical pieces of code. Strategy for architecting, delivering value to the product, hiring, AOP, delivering outcomes and defining targets and goals for customer focused delivery. Optimised engineering processes delivering software products at scale against meaningful timelines for the engineering, product and business as a whole.

Software Development Manager, WL2 at Tesco, Dec 2019 - Nov 2021 · 2 yrs, India, Engineering Management and Software Development leadership in the loyalty BU with teams working across India, Thailand, UK at the loyalty BU affecting Lotus, Tesco, Star Bazaar et all. Hands-on software development leadership building and owning microservices based distributed systems architectures and building teams for software development. Championing engineering best practices across loyalty BU for operational excellence. AOP contributions, budgeting, recruitment, architecture ownership and optimised engineering processes delivering software products at scale with meaningful timelines for the engineering, product and business as a whole directly impacting customer experience and scaling metrics like average revenue, TAT, average user base, average transaction conversion ratios.

Engineering Manager at HERE Technologies, May 2018 - Sep 2019 · 1 y 4 mo, Mumbai

Various Designations at Various Companies, Aug 2005 - Apr 2018 · 12 y 8 mo, India (Brief US visit on work)

Education

Bachelor of Engineering - BE, Electronics and Communications Engineering, National Institute of Technology Karnataka

Mohammed A. - Fractional Lead -Tech /CTO in Greater Bengaluru Area | Tal