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AI Engineer with 2+ years in Generative AI, NLP & Machine Learning
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Assessing your cultural and operational fit
Data Scientist with 3 years of experience specializing in Generative Al, Python, NLP, Machine Learning, and SQL. Skilled in building end-to-end data pipelines, extracting insights from unstructured data, and developing production-ready Al solutions. Proven ability to design scalable systems, optimize workflows, and deliver high-accuracy, high-efficiency models. Strong collaborator with a focus on reliability, automation, and fast delivery.
Indian Institute of Technology (IIT) BHU, Varanasi
Integrated Dual Degree (B.Tech + M.Tech) · Biochemical Engineering & Biotechnology
August 1, 2017 – June 30, 2022
Calance
Data Scientist(Gen AI | NLP)
July 1, 2022 – June 1, 2025
India
Clinical Protocol Scoring
July 1, 2022 – June 1, 2025
Automated a manual, time-intensive clinical protocol evaluation process by designing a RAG-driven system to extract measure-level insights and apply SME-defined phase-specific scoring rules (Phase 1-4), improving scalability and reducing dependency on expert driven reviews. Built end-to-end pipelines by engineered custom NLP parsers, implemented hybrid chunking and integrated OpenAl Embedding LLM with FAISS based semantic retrieval, fine-tuned Llama 2 model for domain-specific extraction into structured JSON outputs, built a Flask based API layer for inference and designed a scalable AWS RDS(MySQL) backend for storing result. Delivered significant business impact with ~85% reduction in manual protocol scoring efforts,~70% data processing cost savings, ~40% improvement in data accuracy, and ~20% faster evaluations; enhanced protocol consistency by ~35%.
Neural MDONER
July 1, 2022 – June 1, 2025
Developed an Al-powered platform to process and analyze 300K+ multilingual government documents, to eliminate manual review bottlenecks and enable faster access to critical parliamentary insights. Design and Implementing a scalable end-to-end pipeline by integrating multilingual OCR (PyMuPDF, LllamaParse), structured parsing, structured storage(RDS/S3), and semantic retrieval using open-source embeddings with Milvus Vector DB, along with RAG-based Q&A (Ollama) and LLM-driven speech generation using AWS Bedrock. Delivered a production-grade system enabling context-aware Q&A, intelligent search, and speech-ready content generation that reduced manual review time significantly by ~50% and save data parsing cost by ~70%, while improving accessibility and traceability of government intelligence for stakeholders.
Multilingual Document & Web-Based Q&A System
July 1, 2022 – June 1, 2025
Built a multilingual Q&A system to deliver accurate answers by combining local document retrieval (PDFs/text) with real-time web search and LLM-powered generation. Utilized langchain for document processing, FAISS for vector db, Llama (Phi-3-mini) for response synthesis; integrated DuckDuckGo API and Google Translator for multilingual web queries. Achieved ~30% higher answer relevance, and ~20% faster response times while supporting 10+ languages.
AWS Certified Solutions Architect - Associate
Amazon Web Services
June 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI, Coursera
June 1, 2026 – Present
Crash Course on Python
Google, Coursera
June 1, 2026 – Present
SQL for Data Science
University of California, Davis, Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from clinical protocol scoring to government document analysis and multilingual Q&A systems, demonstrates adaptability and a broad interest in applying AI to various domains. The focus on delivering measurable business impact aligns with a results-oriented culture. The educational background from IIT BHU and certifications indicate a commitment to continuous learning and a strong technical foundation. The leadership experience also suggests a proactive and engaged individual.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills, a focus on reliability and automation, and a collaborative approach. The project descriptions indicate an ability to deliver significant business impact and work with complex, real-world data challenges. Leadership experience as Operations Head suggests organizational and team management capabilities. The candidate appears to be a good operational fit for roles requiring end-to-end solution development and impact-driven results.