AI Engineer with 1+ years in GenAI and Data Science
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Ashish Prasad Thakur is an AI Engineer with 1.7 years of experience specializing in GenAI, NLP, and cloud technologies. He has designed and built RAG-based systems, optimized data pipelines, and developed AI solutions for automating insight extraction from documents. With a strong background in machine learning frameworks and cloud platforms, Ashish demonstrates expertise in building scalable and efficient AI-driven applications.
Motilal Nehru National Institute of Technology Allahabad, Prayagraj
Master of Computer Applications
October 1, 2021 – July 1, 2024
Bengal School of Technology and Management
Bachelor of Computer Applications
July 1, 2018 – September 1, 2021
Genpact
AI Engineer
October 1, 2024 – December 1, 2025
Bengaluru, Karnataka, India
Genpact
Data Science Intern
February 1, 2024 – July 1, 2024
Hyderābād, Telangana, India
Multi-Source Compliance AI Screening Agent
April 1, 2026 – Present
Built an Agentic AI workflow cross-referencing 14 files (PDF, DOCX, XLSX, CSV) to automate candidate screening detects policy violations and contradictions with cited answers pointing to exact source files. Designed a LangGraph pipeline (planner, executor, synthesiser) with 8 LLM-free deterministic tools, validated with 74 unit tests. Developed FastAPI backend serving a real-time chat UI, optimised token usage 44KB to 7KB to prevent context overflow and hallucination, deployed on Railway.
Cultural Fit Analysis
The candidate's project diversity, including a personal project and hackathon participation, suggests initiative and a proactive learning attitude. The experience as an AI Engineer and Data Science Intern at Genpact, coupled with a Master's degree, aligns well with a professional, growth-oriented environment. The target role of AI Engineer is a direct match for their recent experience and stated skills.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through project achievements (e.g., LeetCode rating, hackathon participation). The detailed descriptions of project and work responsibilities suggest an ability to articulate technical challenges and solutions clearly. Collaboration with DevOps is also mentioned, indicating teamwork capabilities.