Rahul Shrivastava profile photo 1 on Tal

Rahul Shrivastava

Innovating AI solutions with expertise in Generative ai systems

Bengaluru

9+ years of work experience

Nov 202511 mosSep 2026

India

 Explored AI automation concepts through architecture design, prototypes, and technical feasibility assessments for enterprise workflows.  Conducted market research and founder conversations to identify workflow pain points, evaluate product hypotheses, and refine target use cases.  Evaluated agentic AI, RAG, and LLM workflow patterns to define product scope, technical constraints, and early go-to-market assumptions.
Hexaware Technologies
Oct 20241 yr 4 mosJan 2026

India

 Architected an Azure multi-agent code-modernization system using LangGraph, A2A, MCP, OpenAI GPT APIs, and Hugging Face models across 20+ codebases, automating approximately 80% of migration workflows.  Led a GenAI ETL copilot using prompt-driven, natural-language transformations and Azure data-lake integration; partnered with domain stakeholders to refine enterprise workflow requirements.  Delivered GenAI workshops and proofs of concept for BFSI and telecom clients, defining agentic-AI adoption, security, and deployment approaches.
Cognizant
Jun 20195 yrs 5 mosOct 2024

Bengaluru

 Led automation architecture for 50+ enterprise processes using UiPath, AI/ML, microservices, and REST APIs, reducing manual effort by 60%.  Led seven engineers and coordinated six stakeholders across multiple releases, achieving 95% on-time delivery with zero escalations.  Built an Azure RAG application for Merck serving 500 monthly active users; incorporated user feedback to refine grounded Q&A, summarization, and multilingual retrieval.  Developed Python, SQL, NumPy, and Pandas validation utilities that reduced reporting errors by 40%.  Established architecture-review, code-quality, and delivery-alignment practices across distributed engineering teams.
McAfee
Feb 201810 mosNov 2018

Bengaluru

Ported security-gateway functionality to Qualcomm QCA platforms, improving packet throughput by 30% in performance testing while meeting security and latency requirements.
Independent
Dec 20162 yrs 9 mosAug 2019

Karnataka, India

• Transitioned from networking systems to scalable software architecture • Built expertise in Python, automation, and distributed systems design • Explored early-stage AI/ML applications and system design patterns • Undertook independent development and consulting work across system-level problem solving
Medium
@shrivastavaone

Rahul’s AI Stack

hugging face
hugging face
langchain
langchain
langfuse
langfuse
langgraph
langgraph
langsmith
langsmith
mcp
mcp

Education

post graduate diploma, embedded systems

Centre for Development of Advanced Computing (C-DAC), Hyderabad

20102010
Rajiv Gandhi Prodyogiki Vishwavidyalaya

Bachelor's degree, Electrical, Electronics and Communications Engineering

Rajiv Gandhi Prodyogiki Vishwavidyalaya

20054 yrs2009

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Headline

Innovating AI solutions with expertise in Generative ai systems

About

14 years of industry experience, working on Generative ai systems, agentic ai, ai agents, RAG, Python, C, Linux, TCP/IP, OSI, layer 2, layer 3, distributed systems, microservices.

Location

Bengaluru

AI stack

hugging face

langchain

langfuse

langgraph

langsmith

mcp

Work experience

Founder at anadiai, Nov 2025 - Sep 2026 · 11 mos, India,  Explored AI automation concepts through architecture design, prototypes, and technical feasibility assessments for enterprise workflows.  Conducted market research and founder conversations to identify workflow pain points, evaluate product hypotheses, and refine target use cases.  Evaluated agentic AI, RAG, and LLM workflow patterns to define product scope, technical constraints, and early go-to-market assumptions.

Senior Technical Architect at Hexaware Technologies, Oct 2024 - Jan 2026 · 1 yr 4 mos, India,  Architected an Azure multi-agent code-modernization system using LangGraph, A2A, MCP, OpenAI GPT APIs, and Hugging Face models across 20+ codebases, automating approximately 80% of migration workflows.  Led a GenAI ETL copilot using prompt-driven, natural-language transformations and Azure data-lake integration; partnered with domain stakeholders to refine enterprise workflow requirements.  Delivered GenAI workshops and proofs of concept for BFSI and telecom clients, defining agentic-AI adoption, security, and deployment approaches.

Software Architect at Cognizant, Jun 2019 - Oct 2024 · 5 yrs 5 mos, Bengaluru,  Led automation architecture for 50+ enterprise processes using UiPath, AI/ML, microservices, and REST APIs, reducing manual effort by 60%.  Led seven engineers and coordinated six stakeholders across multiple releases, achieving 95% on-time delivery with zero escalations.  Built an Azure RAG application for Merck serving 500 monthly active users; incorporated user feedback to refine grounded Q&A, summarization, and multilingual retrieval.  Developed Python, SQL, NumPy, and Pandas validation utilities that reduced reporting errors by 40%.  Established architecture-review, code-quality, and delivery-alignment practices across distributed engineering teams.

Technical Lead at McAfee, Feb 2018 - Nov 2018 · 10 mos, Bengaluru, Ported security-gateway functionality to Qualcomm QCA platforms, improving packet throughput by 30% in performance testing while meeting security and latency requirements.

Self-driven / Consulting at Independent, Dec 2016 - Aug 2019 · 2 yrs 9 mos, Karnataka, India, • Transitioned from networking systems to scalable software architecture • Built expertise in Python, automation, and distributed systems design • Explored early-stage AI/ML applications and system design patterns • Undertook independent development and consulting work across system-level problem solving

Education

post graduate diploma, embedded systems, Centre for Development of Advanced Computing (C-DAC), Hyderabad

Bachelor's degree, Electrical, Electronics and Communications Engineering, Rajiv Gandhi Prodyogiki Vishwavidyalaya

Public links

medium: https://medium.com/@shrivastavaone