Harshal Zarikar

Ai Developer

Talent

PuneMember since 6 April 2026

LangGraphLangChainMulti-Agent Orchestration (Supervisor Pattern)Model Context Protocol (MCP)RAG (Retrieval-Augmented Generation)DeepSeek-R1 (Reasoning Models)Llama 3OllamaPrompt Engineering (CoT, ReAct)PythonFastAPIPydanticDockerAWS (EC2)GitHub Actions (CI/CD)ChromaDBFAISSSQLRAGASDeepEvalLangSmithLangfuse

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LangGraphLangChainMulti-Agent Orchestration (Supervisor Pattern)Model Context Protocol (MCP)RAG (Retrieval-Augmented Generation)

About

AI Engineer specializing in Agentic AI and Applied Generative AI. Proven ability to architect autonomous workflows using LangGraph and Llama-3, moving beyond basic chatbots to build stateful, self-correcting systems. Hands-on experience with RAG optimization, Docker containerization, and Cloud Deployment (AWS). Passionate about solving engineering challenges like context-window limits and hallucination reduction in production-grade LLM applications.

Experience

Generative AI Intern at Finsocial Digital System (2024-11 – Present)

Generative AI Intern working on RAG pipeline development, backend integration, data engineering, and containerization.

RAG Pipeline Development: Engineered a customer support RAG system that improved query resolution rates by implementing semantic chunking strategies and validating outputs against a DeepEval test set.
Backend Integration: Optimized real-time chatbot throughput by migrating synchronous endpoints to Asynchronous FastAPI, utilizing Pydantic models for strict data validation and type safety.
Data Engineering: Automated the collection of unstructured financial data by building robust web scrapers, cleaning and structuring datasets for high-quality Vector Database ingestion.
Containerization: Standardized the development lifecycle by creating optimized Docker images for backend services, reducing environment setup time by 90% across the engineering team.