---
title: "Prateek Tatikonda - Associate Programmer in Bengaluru | Tal"
description: "Meet Prateek Tatikonda, Associate programmer @ Moody’s Analytics | Full stack Developer based in Bengaluru. AI stack includes claude code, github copilot, and langchain. Explore public work links including github."
image: "https://tal.club/meet/prateek-tatikonda/share-image"
---

# Prateek Tatikonda on Tal

## Headline

Associate programmer @ Moody’s Analytics \| Full stack Developer

## Location

Bengaluru

## AI stack

claude code

github copilot

langchain

langgraph

## Work experience

Associate Programmer at Moody's Corporation, Jul 2023 \- Present · 3 yrs 4 mos, 1\. Developed Credit APIs using AWS Lambda Powertools and API Gateway, including source API integration, schema validation, unit testing, and response optimization\. 2\. Designed secure credential management and key rotation strategies, driving adoption of AWS Secrets Manager for enterprise\-grade security\. 3\. Built the Trade Credit Admin Console frontend using React, TypeScript, Zustand, and Jest, with modular component architecture and performance\-focused refactoring\. Dockerized applications and implemented CI/CD pipelines, contributing to AWS EC2, IAM policies, and multi\-environment deployment practices\. 4\. Developed API\-ready Custom Check components using React, TypeScript, and Castle UI, delivering customer risk insights and collaborating closely with Product and QA teams\. Built a production\-grade Credit Decision Analyzer \(Enterprise AI Platform\) using FastAPI, React, Oracle DB, and MCP, supporting a 5,000\+ table enterprise schema\. 5\. Implemented FastMCP\-based LLM\-to\-database connectivity, enabling GPT\-4o to query enterprise data directly without REST middleware\. 6\. Designed real\-time streaming AI responses, intelligent PDF/document summarization, and a modular AI pipeline for scalable context orchestration across enterprise data domains\. 7\. Developed a micro\-frontend architecture for the Risk Chapter module to support scalable and independently deployable features\.

PRISM Research Intern at Samsung R&D Institute India, Dec 2021 \- Sep 2022 · 10 mos, Bengaluru, 1\. Developed a high\-performance object detection pipeline using C\+\+, OpenCV, YOLOv4, and ONNX Runtime\. 2\. Implemented real\-time inference with multi\-threading and memory optimization, achieving production\-grade frame rates\. 3\. Delivered a deployment\-ready CMake \+ Visual Studio build, validated with Samsung mentors and SRM faculty\.

Product research Intern at Airdonex, Jul 2021 \- Sep 2021 · 3 mos, India

Technical Member at Web/App domain & RnD domain at IEEE SRMIST, Sep 2020 \- May 2022 · 1 yr 9 mos, Chennai, Tamil Nadu, India

Technical Member at Software Domain at Team SRMAUV \- SRM Autonomous Underwater Vehicle, Jan 2020 \- Dec 2021 · 2 yrs

## Education

Bachelor of Technology, Computer Engineering, Srm University

## Public links

- github: https://github\.com/prateektatikonda

[View the original profile](https://tal.club/meet/prateek-tatikonda)

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