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AI Engineer with 2+ years in Generative AI & Fullstack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.