Headline

Associate Consultant (AI) @ Infosys | AI Engineer |Agentic AI • LEAP • LangGraph | Agents|Tools|Prompt Engineering | Vector Search | Vector DB Retrieval |ServiceNow + Oracle Automation | Azure OpenAI | Python

About

I build LLM‑powered, agentic workflows that automate real enterprise work. At Infosys, I design and run agents on LEAP and LangGraph that reason over context, call tools, fetch from Oracle/ServiceNow, and complete actions—securely and reliably. My recent focus: unifying two business flows (Payables & Job Monitoring) into a single agent pipeline—ServiceNow incident → NLP‑to‑SQL → Oracle query → LLM reasoning → automated updates plus email automation and Teams chatbot integration. I also created internal retrieval pipelines using vector databases (Confluence + ServiceNow) to ground agent decisions with enterprise knowledge. Enabled semantic grounding, similarity search, and rule retrieval for all 6 ITSM use cases Earlier at Manipal Fintech, I built embedding‑based document verification, repeat‑customer prediction (10% → 15%), and renewal automation . Before that at Concentrix, I worked on large‑scale analytics and BI. I care about safety, correctness, and observability (MCP, OPA) and love translating messy, real‑world processes into dependable AI systems. Interests: Agentic AI, prompt engineering, vector search, developer tooling for AI, enterprise AI reliability.

Location

New Delhi

Work experience

Associate Consultant (AI & Agentic Automation) at Infosys, Feb 2025 - Present · 1 yr 4 mos, India, Built and extended agentic workflows on LEAP + LangGraph that reason over context, call tools, and take actions. Unified agent for Payables & Job Monitoring: ServiceNow incident intake → NLP‑to‑SQL → Oracle query → LLM reasoning → automated incident updates + email automation + Teams integration. Created custom tools: ServiceNow create/update, NLP‑to‑SQL, Oracle connector, mail sender, knowledge lookup. Implemented prompt engineering (system/tool prompts, few‑shot, safety), structured output schemas, and deterministic parsing. Enabled semantic grounding, similarity search, and rule retrieval for all 6 ITSM use cases Built internal retrieval pipelines (Confluence & ServiceNow → Vector DB) to ground agent outputs. Improved reliability, security, and auditability using MCP, OPA (RBAC).

data science(data analyst) at Manipal Fintech, Jul 2023 - Jan 2025 · 1 yr 7 mos, Gurugram, Haryana, India, Embedding‑based document cross‑verification for Aadhaar/PAN/pledge cards; robust to layout variance. Repeat customer prediction model improving renewals from 10% → 15%. Streamlit cohort/geo dashboards for weekly leadership insights. Renewal automation contributing incremental revenue. Additional: cohort analysis, discrepancy reporting (reduced 15% → 3%), BI with Power BI/Streamlit.

Analyst at Concentrix, Oct 2021 - Jul 2023 · 1 yr 10 mos, India, Large‑scale analytics, EDA, and dashboards (Tableau, Matplotlib, Seaborn). Data processing with Python, Pandas, NumPy, Spark; trend and anomaly insights for business teams.

Education

Post Graduate Program in Data Science and Engineering - Online, Data Processing and Data Processing Technology/Technician, Great Lakes Institute of Management

Bachelor's degree, Hans Raj College