Headline

GenAI developer Capgemini Engineering | ex NEC

About

AI Engineer with over 3 years of experience specializing in Agentic AI Orchestration, LLMOps, and scalable machine learning systems. I excel at translating cutting-edge AI research into measurable enterprise impact, building intelligent, stateful systems using frameworks like LangGraph, LangChain, and Hugging Face. My focus is on streamlining model inference, minimizing system latency, and developing autonomous end-to-end workflows that solve complex business challenges. Throughout my career, I have driven significant technical transformations, including architecting a 5-agent LangGraph system that automated SDLC pipelines and reduced manual review time by 40%. I have successfully optimized open-source LLMs (LLaMA, Phi-3) via quantization and TensorRT to achieve 3x faster inference speeds, and upgraded Vision-RAG pipelines to boost document understanding accuracy by 28%. My dedication to Agentic AI innovation was also recognized with Capgemini’s 2024 Gem Award. Beyond enterprise deployments, I am deeply passionate about engineering local-first, privacy-focused AI applications. I actively build complex multi-agent architectures such as automated podcast production pipelines and semantic search engines that are strictly optimized for 16GB VRAM hardware constraints. If you are advancing multi-agent orchestration, RAG architectures, or autonomous workflows, let's connect!

Location

Varanasi

AI stack

claude code

codex

kiro

langgraph

mcp

notebooklm

Work experience

Professional 1 at Capgemini Engineering, Jun 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, • Architected comprehensive multi-agent frameworks using LangChain, LangGraph, CrewAI, Semantic Kernel, and Microsoft Autogen; engineered configurable AI pipeline builder with conditional branching and real-time execution monitoring, enabling design of complex, stateful agentic workflows. • Established AI governance frameworks incorporating Responsible AI principles, differential privacy, and bias mitigation; implemented robust security layers including adversarial prompt detection, input sanitization, and output guardrails to prevent prompt injection and ensure regulatory compliance. • Built full-fledged multi-agent application to automate Software Development Life Cycle (SDLC); orchestrated agents for automated code generation, test case creation from Go files, and continuous deployment, achieving seamless coordination between development and testing phases. • Specialized in optimizing Large Language Models (LLAMA, Phi-3) via quantization and hardware acceleration for production-scale inference; enhanced Vision-RAG pipelines to improve multimodal context understanding and developed advanced prompt engineering strategies for diverse domains. • Designed and deployed production-grade multi-agent system for healthcare client, enhancing clinical decision support efficiency and enabling intelligent task orchestration across diagnostic workflows. • Delivered end-to-end AWS-based Agent-to-Agent solution for Ericsson; engineered high-throughput batch processing pipelines for large-scale datasets, reducing latency and ensuring explainability across automated processes.

ASSOCIATE II at Capgemini Engineering, May 2024 - Jul 2025 · 1 yr 3 mos, Bengaluru, Karnataka, India, Working as a GenAI developer to provide optimal solutions

GET (Graduate Engineer Trainee) at NEC Corporation India Pvt Ltd., Oct 2023 - May 2024 · 8 mos, Uttar Pradesh, India, Worked on prompt engineering to give solutions to various automation tasks. Worked on flask to design frontend for the in house application • Developed robust code for secure document generation and Business Document Connectivity (BDC) systems, improving data processing efficiency. • Applied advanced prompt engineering techniques including Tree of Thought (TOT), Retrieval-Augmented Generation (RAG), and Directional-Stimulus Prompting (DSP) using models like Mistral-7b and Nous-Hermes-Llama2-13b. • Collaborated within cross-functional team to integrate LLM-driven solutions into enterprise workflows, enhancing operational efficiency.

Trainee at NEC Corporation India Pvt Ltd., Jan 2023 - Sep 2023 · 9 mos, Noida, Uttar Pradesh, India, Doing work on project Related to the Automation tasks.

Education

Bachelor of Technology - BTech, Information Technology, PSIT COLLEGE OF ENGINEERING, KANPUR

High School Diploma, Sunbeam english school bhagwanpur