AI Engineer with 2+ years in Generative AI & Fullstack Development
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Assessing your cultural and operational fit
Data Science Fullstack Developer with 2+ years of experience in Generative AI, Python, and SQL, building AI-driven applications that optimize workflows, enhance decision-making, and deliver measurable business impact.
Indian Institute of Information Technology, Allahabad (IIITA)
M.Tech. · Cyber Law & Information Security
August 1, 2021 – June 30, 2023
College of Technology, GBPUA&T
B.Tech. · Computer Engineering
August 1, 2016 – June 30, 2020
Axtria
AI-powered Text-to-SQL chatbot (GenAI Full-Stack Developer)
June 1, 2023 – Present
Noida, Uttar Pradesh, India
Axtria
RAG-based Enterprise Document Assistant (GenAI Developer)
June 1, 2023 – Present
Noida, Uttar Pradesh, India
Axtria
PatientAI-Business Intelligence & Pharma Analytics Platform
June 1, 2023 – Present
Noida, Uttar Pradesh, India
AI-Powered Banking CRM Assistant
June 6, 2026 – Present
Built an end-to-end agentic AI assistant for a Banking CRM using LangGraph, FastAPI, and the ReAct framework, enabling Relationship Managers to perform customer discovery, eligibility scoring, and personalized outreach through natural-language queries with multi-turn conversational memory. Designed a four-tool LLM agent architecture (business-context resolver, NL-to-SQL generator, propensity scorer, outreach generator) chained dynamically by the ReAct loop, supporting both single-query analytics and complex multi-step workflows from a single conversational interface. Developed a transparent YAML-driven propensity scoring engine in Python with weighted multi-signal profiles for personal loan, debt consolidation, and investment cross-sell, producing fully auditable per-customer score breakdowns that feed downstream personalized message generation. Engineered a two-tier LLM architecture with focused worker LLMs embedded inside tools, schema-grounded NL-to-SQL prompts, binding resolver-to-SQL contracts, and read-only query enforcement reducing token cost, eliminating hallucinated business rules, and improving agent reliability.
Cultural Fit Analysis
The candidate's experience at Axtria demonstrates a focus on enterprise-level solutions across diverse business domains (banking, pharma analytics, general enterprise document retrieval). The projects involve collaboration across multiple departments and global markets, indicating adaptability and a team-oriented mindset. The breadth of skills and technologies used suggests a willingness to learn and apply new tools, which is beneficial for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, innovation (revolutionizing workflows), and a results-oriented approach (achieving significant reductions in time/cost and improvements in accuracy). The awards received (GAME CHANGER, BRAVO, Top Performer) further indicate strong work ethic, collaboration, and consistent high-quality delivery, suggesting a good operational fit.