Headline

AI Engineer @ CG | Generative AI | LLMs | RAG | Agentic AI | Python & FastAPI | ML & NLP | Azure Cloud Deployment | Building production-grade scalable AI Solutions | Serving Notice Period

About

AI/ML Engineer with 2.5+ years of experience building and deploying production-grade Generative AI and AI-native applications for enterprise clients on Azure and AWS. 🧠 Scope of work: Designed Hierarchical multi-agent systems (LangChain, AutoGen, CrewAI), enterprise RAG pipelines (Pinecone, FAISS, Azure AI Search, LlamaIndex), Model Routing (OpenAI GPT, Claude, Llama models), LLM fine-tuning (LoRA/PEFT), ML models, AI Solution Architecture, and production-grade API services (FastAPI, Flask) — deployed on Azure with CI/CD, LangSmith observability, and RAGAS/DeepEval evaluation frameworks. 📈 Business Impact: • Reduced operational overhead by 60% through multi-agent orchestration • Improved retrieval accuracy by 75% over BM25 baseline in enterprise RAG systems • Reduced inference latency by 30% using intelligent LLM routing strategies • Reduced regression issues by 33% under peak production load • Achieved 18% classification uplift over zero-shot GPT-3.5-turbo using LoRA fine-tuning • Implemented RAGAS-based RAG evaluation, LangSmith observability, and guardrails to reduce PII exposure and sensitive data leakage in production AI workflows ⚙️ Technical Expertise: LangGraph · LangChain · AutoGen · CrewAI · Pinecone · FAISS · Azure AI Search · LlamaIndex · LoRA/PEFT · FastAPI · Flask · LangSmith · RAGAS · DeepEval · Guardrails AI · MLflow · Docker · Kubernetes · AKS · CI/CD · Azure OpenAI · OpenAI · Claude APIs · Hugging Face · PyTorch · XGBoost · vLLM · MCP 🎓 Certifications: Azure AI Engineer Associate (AI-102) · Azure Fundamentals (AZ-900) · Google Cloud Generative AI 📍 Bengaluru, India | Open to: AI/ML Engineer · Applied AI Engineer · Agentic AI Engineer · GenAI Engineer · LLM Engineer · AI Solutions Engineer ✅ Open to Onsite · Hybrid · Remote opportunities Feel free to connect for relevant opportunities, collaborations, or AI engineering discussions.

Location

Bengaluru

AI stack

cursor

langchain

langgraph

openai

Work experience

Senior Analyst - AI/ML Engineer at Capgemini, Oct 2025 - Present · 9 mos, Bengaluru, Karnataka, India, Engineered production-grade Generative AI, LLM, and ML solutions for US-based enterprise clients across business-critical domains | Designed and deployed Agentic AI and RAG-based architectures for intelligent automation, reasoning, and enterprise decision workflows | Collaborated with cross-functional stakeholders to enable large-scale AI adoption across business functions and processes | Built scalable, API-driven AI systems using Python, FastAPI, and cloud-native architectures with Azure | Optimized LLM pipelines and retrieval systems achieving up to 30% reduction in inference cost, 70% improvement in retrieval accuracy, and 33% reduction in production regression issues | Delivered end-to-end GenAI solutions covering orchestration, context engineering, evaluation, observability, and deployment aligned with enterprise-scale performance and reliability requirements.

Analyst - Software Engineer at Capgemini, Dec 2023 - Sep 2025 · 1 yr 10 mos, Hybrid, Worked as AI Python Engineer across multiple client projects | Developed backend services and APIs using Python and FastAPI for enterprise applications | Contributed to data processing workflows, API integrations, and system automation components | Supported in testing, validation, and deployment activities in production environments | Gained hands-on exposure to AI/ML systems, LLM-based applications, and cloud-based deployments.

Education

Bachelor of Technology, Amity University Kolkata