---
title: "SHUBHAM KESHARI - AI Software Engineer in Bengaluru | Tal"
description: "Meet SHUBHAM KESHARI, AI Engineer @ Newron.ai | ex-SDE @ Jio | BITS Pilani | Backend, Cloud and ML Developer | Open to New Opportunities based in Bengaluru. AI stack includes claude code, langchain, and langgraph. Explore public work links including github, leetcode, and who-is-shubham.vercel.app."
image: "https://tal.club/meet/shubham-keshari-1/share-image"
---

# SHUBHAM KESHARI on Tal

## Headline

AI Engineer @ Newron\.ai \| ex\-SDE @ Jio \| BITS Pilani \| Backend, Cloud and ML Developer \| Open to New Opportunities

## About

Software Developer with hands\-on experience in backend development, cloud infrastructure, and automation\. I've worked on scalable systems using Spring Boot, Node\.js, AWS, and Kubernetes, with projects ranging from secure session management to no\-code automation and ML pipelines\. Open to full\-time opportunities\. Let’s connect\!

## Location

Bengaluru

## AI stack

claude code

langchain

langgraph

langsmith

claudecode

## Work experience

AI Software Engineer at Newron, Dec 2025 \- Present · 9 mos, Bengaluru, – Led the end\-to\-end architecture and delivery of Crediverse, a scalable AI\-driven loan processing platform used by NBFC clients like Aditya Birla Finance and Credila, unifying legacy systems into a single extensible monorepo\. – Architected a configurable Stage Manager Engine to enable dynamic, client\-specific workflows by decoupling business logic into reusable stages and routines, leveraging RabbitMQ, Redis\-based rate limiting, and transactional state management to ensure reliability, retries, and workflow flexibility\. – Handled platform reliability and deployments by Dockerizing services, adding GitHub Actions CI/CD, setting up Nginx with SSL, and replacing polling APIs with webhooks\. – Set up full\-stack observability using SigNoz \(OpenTelemetry\) for distributed tracing, metrics, and dashboards; added RabbitMQ DLQs with Slack alerts and trace propagation across services\.

Software Engineer at Jio Platforms Limited \(JPL\), Aug 2023 \- Jun 2025 · 1 yr 11 mos, Navi Mumbai, Maharashtra, India, \- Built a session microservice for 10K\+ RDP/SSH connections using Apache Guacamole, Spring Boot, and PostgreSQL\. \- Implemented secure session logging, idle timeout, and log archival with encryption and retention policies\. \- Developed SCP\-based file transfer for SSH with recursive navigation and secure upload/download\. \-Integrated SAML SSO with Azure AD and TOTP\-based 2FA, enabling federated login across services\. \- Designed a cross\-database optimization engine and Redis config suite supporting 100\+ servers\. \- Created a no\-code Appium script automation tool with performance profiling and test session visualization\.

Back End Developer at Happay, Jul 2022 \- Dec 2022 · 6 mos, Bengaluru, Karnataka, India, – Developed a WhatsApp notification system for flight and hotel bookings, integrating with email and SMS data to improve real\-time update efficiency and system responsiveness by 50%\. – Enforced templated WhatsApp messages and automated PDF generation, utilizing AWS S3 for storage, and used Kafka to produce messages to a Logging microservice for seamless integration with third\-party services, collaborating with Yellow\.ai as the WhatsApp API provider\. – Debugged and wrote APIs to create functionalities, ensuring reliable operation and diagnosing issues using logs\.

Machine Learning Engineer at LTI \- Larsen & Toubro Infotech, May 2021 \- Jul 2021 · 3 mos, Bangalore Urban, Karnataka, India, – Built a ticket classification system using BERT embeddings and a Multi\-Layer Perceptron, achieving 96% accuracy in categorizing 10K\+ queries across IT Support, DevOps, Engineering, and QA using stratified cross\-validation\. – Trained a MobileNet\-based CNN with custom dense layers on 5K\+ labeled images from HR, Finance, and IT, enabling 92% accurate classification of unstructured media across cloud repositories\. – Delivered a scalable inference pipeline via FastAPI, integrating model storage on AWS S3 and serverless execution through AWS Lambda, reducing latency to <250ms and supporting stateless, on\-demand ML model serving\.

## Education

Bachelor of Engineering \- BE, Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani

Master of Science \- MS, Computer Science, Stockholm University

## Public links

- github: https://github\.com/1500\-Shubham
- leetcode: https://leetcode\.com/thak\_gaya\_hu\_bruh
- who\-is\-shubham\.vercel\.app: https://who\-is\-shubham\.vercel\.app/

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

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