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Hi, I’m Tejeswar Sunkara. I’m an AI Engineer with 6+ years of hands-on development across Generative AI, Agentic Systems, and Enterprise Data Engineering in financial services. I build production-grade GenAI backends using LangGraph, AWS Bedrock, FastAPI, and Arize Phoenix—working daily on RAG pipelines, agentic AI workflows, LLM observability, and MCP-based tool platforms. Beyond core AI work, I’ve shipped enterprise-scale ETL pipelines integrating Salesforce/nCino with core banking and credit-bureau systems; I’ve contributed to AI-assisted legacy modernization platforms for COBOL/DB2/Java, and I’ve led performance tuning and on-call incident response that reduce runtimes and improve SLA adherence. I write clean Python, debug production issues, and design secure, explainable AI systems suitable for regulated environments.…Hi, I’m Tejeswar Sunkara. I’m an AI Engineer with 6+ years of hands-on development across Generative AI, Agentic Systems, and Enterprise Data Engineering in financial services. I build production-grade GenAI backends using LangGraph, AWS Bedrock, FastAPI, and Arize Phoenix—working daily on RAG pipelines, agentic AI workflows, LLM observability, and MCP-based tool platforms. Beyond core AI work, I’ve shipped enterprise-scale ETL pipelines integrating Salesforce/nCino with core banking and credit-bureau systems; I’ve contributed to AI-assisted legacy modernization platforms for COBOL/DB2/Java, and I’ve led performance tuning and on-call incident response that reduce runtimes and improve SLA adherence. I write clean Python, debug production issues, and design secure, explainable AI systems suitable for regulated environments.

Tejeswar Sunkara

AI Engineer, Full Stack Developer, Data Scientist, +2

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Hi, I’m Tejeswar Sunkara. I’m an AI Engineer with 6+ years of hands-on development across Generative AI, Agentic Systems, and Enterprise Data Engineering in financial services. I build production-grade GenAI backends using LangGraph, AWS Bedrock, FastAPI, and Arize Phoenix—working daily on RAG pipelines, agentic AI workflows, LLM observability, and MCP-based tool platforms. Beyond core AI work, I’ve shipped enterprise-scale ETL pipelines integrating Salesforce/nCino with core banking and credit-bureau systems; I’ve contributed to AI-assisted legacy modernization platforms for COBOL/DB2/Java, and I’ve led performance tuning and on-call incident response that reduce runtimes and improve SLA adherence. I write clean Python, debug production issues, and design secure, explainable AI systems suitable for regulated environments.…Hi, I’m Tejeswar Sunkara. I’m an AI Engineer with 6+ years of hands-on development across Generative AI, Agentic Systems, and Enterprise Data Engineering in financial services. I build production-grade GenAI backends using LangGraph, AWS Bedrock, FastAPI, and Arize Phoenix—working daily on RAG pipelines, agentic AI workflows, LLM observability, and MCP-based tool platforms. Beyond core AI work, I’ve shipped enterprise-scale ETL pipelines integrating Salesforce/nCino with core banking and credit-bureau systems; I’ve contributed to AI-assisted legacy modernization platforms for COBOL/DB2/Java, and I’ve led performance tuning and on-call incident response that reduce runtimes and improve SLA adherence. I write clean Python, debug production issues, and design secure, explainable AI systems suitable for regulated environments.

Available to hire

Hi, I’m Tejeswar Sunkara. I’m an AI Engineer with 6+ years of hands-on development across Generative AI, Agentic Systems, and Enterprise Data Engineering in financial services. I build production-grade GenAI backends using LangGraph, AWS Bedrock, FastAPI, and Arize Phoenix—working daily on RAG pipelines, agentic AI workflows, LLM observability, and MCP-based tool platforms.

Beyond core AI work, I’ve shipped enterprise-scale ETL pipelines integrating Salesforce/nCino with core banking and credit-bureau systems; I’ve contributed to AI-assisted legacy modernization platforms for COBOL/DB2/Java, and I’ve led performance tuning and on-call incident response that reduce runtimes and improve SLA adherence. I write clean Python, debug production issues, and design secure, explainable AI systems suitable for regulated environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Vanguard

July 1, 2025 - Present

Built and shipped Expert Insights, a production-grade GenAI backend for portfolio intelligence, using LangGraph, AWS Bedrock, and LLM-as-judge evaluation to deliver explainable, hallucination-resistant insights that measurably improved advisor productivity. Developed a hybrid 4-stage portfolio insights LangGraph agent (portfolio fetch, risk evaluation, deterministic statements, AI insights), combining structured financial logic with LLM reasoning to improve explainability, consistency, and reduce hallucinations. Implemented governance and quality controls including Bedrock Guardrails, runtime self-evaluation (faithfulness, consistency, policy), and risk-based HITL routing for controlled generation. Set up end-to-end evaluation and observability with golden datasets and LLM-as-judge (Arize Phoenix), enabling continuous regression testing and drift detection, with measurable improvements in insight quality and advisor productivity.

ETL Developer (Analyst) at Deloitte Consulting

January 1, 2022 - December 1, 2023

Worked for Santander Bank on Salesforce / nCino platform. Developed and maintained 98+ production Informatica PowerCenter and Informatica Cloud Services (IICS) ETL jobs supporting Commercial Banking, Business Banking, and Treasury Management. Built bidirectional integrations between Salesforce / nCino and core systems (BDP, Partenon, CCLM, AFS RDL, CARE, USPS, WAA Treasury analytics) using PowerCenter transformations and IICS connectors. Tuned mappings, partitioning, and session-level parameters to reduce ETL runtime by ~40%, improving SLA adherence for downstream MIS, Risk Rating, and reporting. Debugged 2-5 production incidents daily as L2/L3 on-call, coordinating with Control-M, mainframe, and middleware teams to recover workflows within SLA. Implemented secure OAuth 2.0 API integrations and BKS token-based middleware authentication; scheduled jobs in Control-M with file-watcher dependencies; supported data replication and Treasury Management ETL workflows; delivered 11 ICS Data Rep

Informatica ETL Developer at Capgemini

March 1, 2020 - December 1, 2021

Worked on healthcare regulatory reporting projects (CMS / Medicare / Medicaid). Built and maintained the Treasury / regulatory data pipelines; implemented SCD-2 and CDC patterns; loaded data into Snowflake; collaborated across teams; improved ETL performance and reliability; mentored junior developers.

Software Engineer at Capgemini

September 1, 2019 - February 1, 2020

Developed and enhanced ETL pipelines using Informatica PowerCenter and IICS, integrating Oracle and Snowflake databases for healthcare regulatory reporting. Coded advanced data loading patterns including SCD-2 and CDC for high-performance workflows handling large daily volumes. Built Star / Snowflake schema models to support CMS, Medicare, and Medicaid regulatory reporting. Tuned ETL jobs for performance, reducing load times and improving data pipeline reliability. Worked with business analysts and data architects to translate requirements into scalable ETL solutions.

Data Engineering Intern at Oil and Natural Gas Corporation Limited (ONGC)

April 1, 2018 - June 1, 2018

Automated oil-well production data organization and reporting by writing SQL queries and Excel macros. Built data validation scripts and documentation for on-premise systems; created reports to track production metrics and flag anomalies in real-time data flows.