Aspiring AI Engineer with a strong passion for Generative AI, multi-agent systems, and building intelligent, production-ready solutions. I specialize in developing autonomous AI agents, advanced RAG pipelines, and conversational AI systems that solve complex real-world problems. With hands-on experience across three impactful internships.My expertise spans the full AI development lifecycle — from ideation and architecture to deployment and stakeholder presentation. I thrive on turning cutting-edge technologies like LangChain, LangGraph, MCP protocols, and LLMs into practical, scalable applications. Whether it’s automating complex web workflows, creating intelligent data assistants, or developing agentic project management tools. Work Experience Gen-AI Intern Bajaj Finserv Direct Limited | Pune, Maharashtra | December 2025 – June 2026 Collaborated closely with Tech Leads to conceptualize, design, and develop a centralized analytics dashboard for three major products, consolidating and visualizing 50+ AI-driven performance metrics in real-time. This enabled leadership to make faster, data-backed strategic decisions. Spearheaded the refactoring of legacy codebase, significantly improving modularity, maintainability, and scalability while identifying and resolving 30+ critical bugs, resulting in enhanced system stability and increased developer productivity. AI Intern Zeron | Remote | June 2025 – November 2025 Architected and implemented 2 multi-agent workflows and 2 advanced RAG pipelines (corrective and agent-based), dramatically improving retrieval accuracy from 71% to 93% by integrating hybrid search, intelligent reranking, and MMR techniques. Developed custom MCP servers on Render and built 3 production-ready LangFlow AI workflows. Successfully launched ZIN AI, an autonomous intelligent chatbot that now functions as the single AI assistant across all Zeron client products. Presented bi-weekly technical demos to the CTO, Senior Software Engineers, and AI team, effectively communicating complex technical trade-offs and quantifying business impact through ROI metrics. AI Software Developer Intern StremlY | Remote | April 2025 – June 2025 Co-engineered a production-grade, agentic web-automation platform alongside 4 interns and the CTO within a tight 8-week timeline. Led the refactoring of a single-threaded prototype into a robust system of 4 autonomous AI agents (Crawler, Extractor, Validator, and Critique) leveraging LangGraph and Graph-RAG for efficient DOM element extraction and metadata processing. Transformed an unstable early prototype into a scalable, reliable automation solution capable of handling complex web interactions. Tech Stack •Generative AI & Agents: LangChain, LangGraph, CrewAI, Agno, LlamaIndex, Hugging Face, Google ADK, RAG Techniques, MCP Protocol, A2A Protocol, LLM Fine-Tuning, Guardrails • AI/ML: PyTorch, TensorFlow, Scikit-learn, NLP (NLTK, spaCy), LLM Observability (LangSmith, LangFuse) • Development: FastAPI, Streamlit, Docker, GitHub Actions, MLflow, Pydantic, Django • Data & Visualization: Pandas, Plotly, Tableau, Matplotlib, Seaborn • Cloud & Databases: AWS (EC2, S3, SageMaker, Bedrock, Lambda), Supabase, MongoDB, Redis, Pinecone, ChromaDB, PostgreSQL Achievements Top 10 Finish at Hack Out Hackathon (80+ teams) Led a 4-member development team under intense time pressure to engineer a high-performing Machine Learning solution. Delivered an innovative end-to-end prototype that stood out among strong competition through efficient model optimization and seamless team collaboration. Top 5% Recognition at Ride Hacks Hackathon Led a 6-member cross-functional team in developing a novel AI-powered solution from concept to working prototype. Successfully delivered an end-to-end application that earned high praise from judges for innovation, technical execution, and practical applicability.