Backend Engineer with 1+ years in Python, Java & LLMs
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Highly motivated Backend and AI Engineer with 1.6 years of experience in developing scalable systems and AI-powered applications. Proficient in Python, Java, Spring Boot, and Microservices, with expertise in building Retrieval-Augmented Generation (RAG) pipelines using LangChain/LangGraph and integrating AI models. Proven ability to optimize application performance, troubleshoot production issues, and work with large datasets for business-critical operations, backed by strong analytical and problem-solving skills.
IIT Madras
Bachelor of Science · Data Science
April 1, 2021 – May 1, 2025
Smt.Kashibai Navale College of Engineering
Bachelor of Engineering · Computer Science
June 1, 2020 – May 1, 2024
TCS - On-site Project (CDSL)
Backend Developer
March 1, 2025 – Present
Mumbai, Maharashtra, India
Openprovider
Backend Support Engineer
January 1, 2025 – March 1, 2025
India
Qapp.ai
AI Intern
May 1, 2024 – September 1, 2024
Delhi, Delhi, India
AI Research Assistant
June 18, 2026 – Present
Built document processing pipelines including PDF parsing, chunking, embeddings, and vector search using ChromaDB. Integrated LLMs with semantic retrieval to generate accurate, source-grounded responses while minimizing hallucinations.
Sentiment Prediction on Movie reviews
June 18, 2026 – Present
Developed a high-precision sentiment analysis model achieving an F1 micro score accuracy of 81. Executed comprehensive data preprocessing, feature engineering, and model optimization to ensure superior performance and accuracy.
NPTEL Data Mining
NPTEL
June 18, 2026 – Present
GATE Qualified (DA) AIR Rank - 3736
Unknown
June 18, 2026 – Present
Achieved a 3-star rating in SQL on HackerRank
HackerRank
June 18, 2026 – Present
Microsoft Azure Fundamentals
Microsoft
June 18, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal AI projects and professional roles in backend development and support, indicates a broad interest in technology and a proactive learning approach. The blend of traditional backend skills (Java, Spring Boot, SQL) with modern AI/ML skills (Python, LLMs, RAG) suggests adaptability and a desire to stay current, which aligns well with dynamic tech environments. The target role of Backend Engineer is a strong fit given their recent experience at TCS and Openprovider.
Soft Skills & Operational Fit
The candidate's experience in troubleshooting production issues and analyzing database queries suggests strong problem-solving and analytical skills. Their work on AI-powered systems and RAG pipelines indicates an ability to adapt to new technologies and innovate. The project descriptions are clear, indicating good communication of technical work.