Headline

Enterprise & AI Architect | GenAI, LLM & Agentic Systems | Distributed Systems | Event-Driven & Cloud-Native | AWS & GCP | 22+ Yrs

About

I am a hands-on Product Architect with 22+ years of experience building enterprise systems that operate at scale. I bridge the gap between complex engineering, product strategy, and customer needs to take platforms from concept to production. Most recently at Impact Analytics, I architected AI-native pricing and optimization platforms for global enterprise retailers like Ralph Lauren, Home Depot, Lovisa, and Leslie's. 𝗞𝗲𝘆 𝗜𝗺𝗽𝗮𝗰𝘁 𝗠𝗲𝘁𝗿𝗶𝗰𝘀: 𝗦𝗰𝗮𝗹𝗲: Generated 1.2M+ pricing recommendations across 122 global markets in under 5 minutes. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Reduced optimization run times by 75% (from 40 minutes down to under 10 minutes) using cloud-native, event-driven architectures. 𝗗𝗮𝘁𝗮: Engineered high-throughput platforms processing millions of daily calculations and billion-scale analytical datasets. 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 & 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 — Core experience building intelligent enterprise platforms that integrate ML forecasting, optimization engines (Gurobi), and complex business rules. 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 — Designing event-driven systems using Python, FastAPI, GCP, and AWS. I balance high scalability, reliability, and cost-efficiency while remaining deeply hands-on with the backend code. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 — Actively building production GenAI applications leveraging RAG, tool calling, and LLM orchestration (LangChain/LangGraph) to automate workflows and augment decision-making. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸: 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Python | FastAPI | LangChain | LangGraph 𝗗𝗮𝘁𝗮 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: PostgreSQL | BigQuery | ClickHouse | Redis | Elasticsearch | Gurobi 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: GCP | AWS | Bedrock | Kubernetes | Docker I enjoy discussing architecture tradeoffs, distributed systems, and the practical realities of shipping products that deliver measurable business value over theoretical diagrams. 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗠𝘆 𝗡𝗲𝘅𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Open to roles where 22+ years of deep architecture experience meets AI innovation—spanning GenAI, distributed systems, and enterprise product platforms.

Location

Greater Bengaluru Area

AI stack

claude code

claude

hugging face

langchain

langgraph

ollama

Work experience

Product Architect at Impact Analytics, Apr 2022 - Mar 2026 · 4 yrs, Bengaluru, Architected AI-native retail pricing platforms delivering over 1.2M pricing recommendations across 122 global markets in under 5 minutes. Led the design of optimization-driven pricing systems, reducing recommendation generation times from 30–40 minutes to under 10 minutes. Collaborated with global retailers like Ralph Lauren and Home Depot to deliver enterprise solutions, enhancing pricing decision-making. Drove adoption of AI-assisted pricing intelligence and intelligent workflow automation by integrating forecasting models, optimization engines, recommendation explanation, and natural-language decision-support capabilities into enterprise pricing platforms. Established observability practices using Datadog and New Relic, improving operational visibility and platform performance.

Senior Software Engineer at Love, Bonito, Sep 2021 - Mar 2022 · 7 mos, Kolkata, Led modernization of a legacy Magento monolith into an event-driven microservices Order Management System, improving scalability, maintainability, and operational reliability. Designed scalable distributed data models using Redis and Elasticsearch to accelerate performance-critical order workflows and reduce bottlenecks. Defined JSON-based event contracts and implemented pub/sub-driven service communication to enable asynchronous, decoupled services. Adopted serverless backend patterns to streamline deployments, reduce operational overhead, and improve system reliability.

Sr. Technical Architect at LearningMate, Dec 2018 - Aug 2021 · 2 yrs 9 mos, Kolkata, Led architecture modernization for multiple large-scale educational publishing and Learning Management Systems (LMS), increasing platform scalability, maintainability, and adaptability for global clients. Architected enterprise-grade authoring, publishing, and content delivery systems supporting high-volume digital learning workflows and complex publishing pipelines. Designed and implemented LTI-compliant integrations to enable seamless interoperability across K12 learning ecosystems and third-party platforms. Built scalable backend systems for content publishing and learning delivery, optimizing performance, throughput, and operational efficiency.

Technical Architect at LearningMate, Apr 2018 - Dec 2018 · 9 mos, Herndon, VA, As an Onsite Architect, helped K12 Inc. integrate LearningMate’s LOR and ePub with K12 Big Universe, a digital library offering eBooks across various subjects and reading levels (K-8). Customized the platform to enhance accessibility and functionality for a diverse range of students.

Technical Architect at LearningMate, Jul 2015 - Mar 2018 · 2 yrs 9 mos, Kolkata, Built FROST, an authoring tool and Learning Object Repository (LOR) for LearningMate recognized as one of the top 20 authoring tools by a US Tech Journal. Provided solutions and best practices to one of the largest publishing houses in the US to enhance their ePub content using FROST, improving digital publishing efficiency.

Module Lead at Persistent Systems, Apr 2010 - Jul 2012 · 2 yrs 4 mos, Hyderabad, Telangana, India, Developed and built components for OpenStack Cloud Infrastructure, contributing to scalable and efficient cloud solutions. Transformed the culture transformation framework from the bestselling book Walking The Talk into an online culture assessment platform, making culture assessments accessible and interactive.

Senior Web Application Developer at Uploaded.Tv, Oct 2008 - Apr 2010 · 1 yr 7 mos, Kolkata, West Bengal, India, Created Facebook-like feeds and a real-time messaging system using Redis and OpenLDAP. Worked on a video conversion solution using FFMPEG.

Education

Bachelor of Technology - BTech, Information Technology, Institute of Engineering & Management (IEM)

Public links

github: https://github.com/arikh