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AI Engineer with less than a year in Computer Vision & Deep Learning, specializing in production-gra
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Tech student in Artificial Intelligence at IIT Patna with strong hands-on experience in Computer Vision, Deep Learning, Generative AI, and production-grade ML systems. Skilled in building real-time AI solutions including gait recognition, PPE compliance systems, and RAG pipelines for enterprise applications.
Indian Institute of Technology (IIT) Patna
M.Tech · Artificial Intelligence
August 1, 2024 – June 30, 2026
Sershah Engineering College, Bihar
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Nable IT Consultancy Pvt. Ltd.
AI/ML Intern
June 1, 2025 – December 1, 2025
Gurgaon, Haryana, India
Legal Contract Analysis using RAG (Gen AI)
June 1, 2026 – Present
Built an enterprise-grade RAG pipeline for legal contract analysis to automate clause retrieval and contract question answering. Implemented PDF parsing, semantic chunking, transformer-based embeddings, and top-K semantic retrieval using FAISS vector indexing. Designed grounded response generation using deterministic LLM prompting constrained to retrieved context, reducing hallucinations and improving answer traceability.
View ProjectPneumonia Detection using Explainable AI – M.Tech Thesis Project
September 1, 2024 – June 1, 2026
Developed a CNN-based chest X-ray pneumonia detection system trained on labeled medical imaging data with augmentation and regularization. Achieved approximately 91% classification accuracy with balanced precision and recall. Integrated Grad-CAM and SHAP to improve explainability and clinical transparency.
Cultural Fit Analysis
The candidate's academic background from IIT Patna and diverse project portfolio (legal tech, medical imaging, industrial safety) suggest adaptability and a broad interest in AI applications. The experience with real-world deployment and optimization indicates a results-oriented mindset. The hackathon coordination role points to teamwork and mentorship potential. Overall, the candidate appears to be a good cultural fit for a dynamic AI engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through coordinating a hackathon and independently handling project deployment. The ability to work on real-world deployment scenarios (Maruti Suzuki Plant) indicates good operational fit and problem-solving skills in practical environments. Communication skills appear adequate based on project descriptions, but no specific communication test results are available for a definitive assessment.