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AI Engineer with 1+ years in GenAI, Backend, and Fullstack Development
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Assessing your cultural and operational fit
AI Engineer with 1.3 years of experience in developing robust, scalable AI/GenAI and backend systems. Proficient in Python, Java, C#, and JavaScript, with expertise in building RAG pipelines, implementing hybrid retrieval, and integrating evaluation frameworks. Skilled in FastAPI, .NET Core, Docker, and various databases. Passionate about leveraging clean architecture and TDD to deliver high-quality software solutions and eager to contribute to innovative AI applications.
IACSD Pune
PG Diploma · Advanced Computing
August 1, 2024 – June 30, 2024
FS University, India
Master of Computer Applications (MCA)
August 1, 2021 – June 30, 2023
EvolveWare Information Technology
Junior Software Engineer
April 1, 2025 – March 1, 2026
Pune, Maharashtra, India
Sko Systems
Backend Developer
November 1, 2024 – February 1, 2025
Pune, Maharashtra, India
Smart Document Q&A with RAGAS Evaluation Dashboard
June 27, 2026 – Present
Built a production-quality RAG system supporting PDF, TXT, DOCX, and URL ingestion with RecursiveCharacter-TextSplitter and metadata enrichment. Implemented Hybrid Retrieval combining dense ChromaDB vector search with BM25 sparse retrieval, fused via Reciprocal Rank Fusion (RRF) to improve context precision. Applied HyDE (Hypothetical Document Embeddings) for query expansion and contextual compression to reduce hallucination risk before answer generation. Integrated RAGAS evaluation framework scoring faithfulness (0.91) and context precision (0.83), surfaced in a live Streamlit dashboard with run history. Structured the codebase using Clean Architecture principles, Pydantic v2 settings management, and pytest unit tests across all pipeline components.
View ProjectIntroduction to Model Context Protocol(By Anthropic)
Anthropic
June 1, 2026 – June 1, 2026
Hugging Face Agents Course - Fundamentals of Agents
Hugging Face
May 1, 2026 – May 1, 2026
Cultural Fit Analysis
The candidate's project diversity, ranging from legacy application modernization to advanced AI systems, shows adaptability and a broad interest in technology. Their proactive pursuit of AI certifications and engagement with cutting-edge AI concepts (RAGAS, HyDE, MCP) indicates a strong alignment with an innovative and learning-oriented culture, which is crucial for an AI Engineer role. The experience in both backend development and AI/ML suggests a versatile profile.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of complex extraction engines and RAG systems. Their experience with TDD, Git, and Clean Architecture suggests a disciplined and collaborative approach to software development. The detailed project description indicates good communication of technical concepts.