---
title: "Samyak J. - Software Engineer in Pune District | Tal"
description: "Meet Samyak J., Software Engineer | Java, Kotlin, Spring Boot, Azure, Kubernetes, Kafka | GenAI: RAG, LangChain, AWS Bedrock | Amazon AIdeaS 2026 Winner (RetainIQ) | PGDM Finance @ XLRI based in Pune District. AI stack includes antigravity and opencode. Explore public work links including github."
image: "https://tal.club/meet/samyak-j-1/share-image"
---

# Samyak J\. on Tal

## Headline

Software Engineer \| Java, Kotlin, Spring Boot, Azure, Kubernetes, Kafka \| GenAI: RAG, LangChain, AWS Bedrock \| Amazon AIdeaS 2026 Winner \(RetainIQ\) \| PGDM Finance @ XLRI

## About

I build cloud\-native backend systems for wealth management: a data mesh on Azure, Java and Kotlin microservices for post\-trade data and reporting, and Terraform and Ansible automation across 100\+ cloud resources that cut environment setup time by 80%\. GitLab CI/CD pipelines I built halved manual release effort\. On the AI side, I won the Innovation category at Amazon AIdeaS 2026 with RetainIQ \(retainiq\.cloud\), a knowledge\-risk platform built serverless on AWS Bedrock\. It detects bus\-factor risk in teams and scores every critical topic 0 to 100 before the knowledge walks out the door\. Day to day, I lead my team's shift to AI\-assisted, spec\-driven development\. Toolbox: Java, Kotlin, Python, Spring Boot, Kafka, Kubernetes, Docker, Terraform, Azure, AWS, LangChain, RAG, Azure OpenAI\. Beyond code: pursuing a PGDM in Finance at XLRI Jamshedpur, published ML research in Procedia Computer Science \(Elsevier\), Gold Certified Engineer and Differentiator Award at my current firm, and I write weekly at blog\.samyak\.space\. Portfolio: samyak\.space

## Location

Pune District

## AI stack

antigravity

opencode

## Work experience

Software Engineer at UBS, Aug 2024 \- Present · 2 yrs 1 mo, Pune District, Maharashtra, India, • Building a cloud\-native data mesh architecture on Azure for Wealth Management post\-trade operations\. • Developing Java and Kotlin/Spring Boot microservices for scalable data and report generation services\. • Provisioned 100\+ Azure resources using Terraform and Ansible, reducing environment setup time by 80%\. • Automated GitLab CI/CD pipelines, reducing manual deployment effort by 50% and accelerating release cycles\. • Implemented IAM\-based authentication for secure service communication adhering to banking security standards\. • Enhanced system reliability with Splunk and BigPanda monitoring for proactive incident management\. • Awarded UBS Gold Certified Engineer and Differentiator Award for impact and innovation\.

Software Engineer Intern at UBS, Jan 2024 \- Aug 2024 · 8 mos, Pune District, Maharashtra, India, • Developed microservices using Java and Spring Boot to support real\-time trade processing pipelines handling high\-throughput financial data at UBS Wealth Management\. • Built and integrated Apache Kafka event\-streaming solutions to enable reliable, low\-latency data flow between upstream trading systems and downstream post\-trade processing services\. • Collaborated with senior engineers on cloud infrastructure using Azure, contributing to the migration of legacy systems to cloud\-native architecture\. • Gained exposure to GitLab CI/CD pipelines, participating in automated testing and deployment workflows in an Agile development environment\.

Software Development Intern at Ford Pro, Jun 2023 \- Dec 2023 · 7 mos, Bengaluru, Karnataka, India, \- Worked extensively with Large Language Models \(LLMs\) for various tasks\. \- Implemented efficient methods for storing and managing data related to LLMs\. \- Automated the bug reporting process to streamline development workflows\. \- Successfully trained a chatbot using diverse LLM architectures\. \- Conducted thorough data analysis to generate insightful reports for multiple projects\.

Software Engineer Intern at Ford Pro, Jun 2023 \- Dec 2023 · 7 mos, Developed LLM\-powered internal tools that automated bug reporting and streamlined resolution, improving triage efficiency\. Built and deployed a conversational chatbot that helped users diagnose and resolve issues in internal applications\.

Android App Development and Machine Learning Intern at ICAR\- Indian Council of Agricultural Research, Jun 2022 \- Aug 2022 · 3 mos, New Delhi, Delhi, India, \- Trained a machine learning model specifically designed to detect diseases in wheat plants\. \- Developed a user\-friendly mobile application that seamlessly integrates the machine learning model\. \- Implemented the machine learning model within the mobile app to provide intuitive disease detection capabilities for users\. \- Ensured accessibility and ease of use in the mobile app interface to cater to a wide range of users, including farmers and agricultural professionals\.

Machine Learning Intern at ICAR\-National Institute of Agricultural Economics and Policy Research, Jun 2022 \- Aug 2022 · 3 mos, Trained a CNN model \(Keras/TensorFlow\) to detect wheat\-crop diseases and shipped an Android app for in\-field diagnosis; work published in Procedia Computer Science \(Elsevier, 2024\)\.

## Education

PGDM, Finance, XLRI Jamshedpur

Bachelor of Technology \- BTech, Computer Science, Shiv Nadar University

## Public links

- github: https://github\.com/SamyakJ05

[View the original profile](https://tal.club/meet/samyak-j-1)

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