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Shubham KeshariSK
Open to opportunities

Shubham Keshari

@shubhamkeshari1

Backend software engineer building scalable, observable platforms and AI-driven products.

India
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What I'm looking for

I’m looking for backend and platform roles where I can architect scalable microservices, improve reliability and deployments, and deliver AI-driven systems with strong observability—preferably in AWS-based environments.

I’m a backend software engineer who’s focused on building scalable, reliable systems—especially where workflow flexibility and observability matter. At Newron.Ai, I led the end-to-end architecture and delivery of Crediverse, unifying legacy capabilities into a single extensible monorepo, and built a configurable Stage Manager Engine with robust state management and retry-friendly workflow execution.

Previously at Jio Platforms Limited, I engineered privileged session management at scale (1000+ concurrent RDP/SSH connections) using Apache Guacamole, delivered microservices to handle 10K+ sessions, and implemented SAML SSO with Azure AD plus TOTP-based 2FA. I also bring an ML and automation mindset from my internships—building a BERT-based ticket classifier and a FastAPI-to-AWS Lambda inference pipeline, and creating a no-code automation tool that enabled non-technical users to generate Appium scripts.

Experience

Work history, roles, and key accomplishments

NE
Current

SDE - II

Newron.Ai

Dec 2025 - Present (5 months)

Led end-to-end architecture and delivery of Crediverse, a scalable AI-driven loan processing platform, unifying legacy systems into a single extensible monorepo for NBFC clients like Aditya Birla Finance and Credila. Built a configurable Stage Manager Engine with RabbitMQ/Redis rate limiting and transactional state management, and improved reliability via Dockerized deployments, GitHub Actions CI/

JL

SDE - I

Jio Platforms Limited

Aug 2023 - Jun 2025 (1 year 10 months)

Engineered session management for 1000+ concurrent RDP/SSH connections using Apache Guacamole, implementing guacd tunnel handling, idle timeouts, and keyboard activity tracking to optimize session lifecycle. Built a session microservice for 10K+ sessions with DTO-based APIs and archival scheduling, developed SCP-based file transfer for Assets Connect, and integrated SAML SSO (Azure AD) plus TOTP-b

HA

Software Developer Intern

Happay

Jul 2022 - Dec 2022 (5 months)

Developed a WhatsApp notification system for flight and hotel bookings, integrating email/SMS data to improve real-time update efficiency and system responsiveness by 50%. Implemented templated WhatsApp messages and automated PDF generation using AWS S3, publishing events with Kafka to a logging microservice in collaboration with Yellow.ai as the WhatsApp API provider.

LL

ML & Cloud Intern

LTI Infotech Ltd.

May 2021 - Jul 2021 (2 months)

Built a ticket classification system using BERT embeddings and a Multi-Layer Perceptron, achieving 96% accuracy on 10K+ queries across IT Support, DevOps, Engineering, and QA with stratified cross-validation. Delivered a scalable inference pipeline with FastAPI, model storage on AWS S3, and serverless execution via AWS Lambda, reducing latency below 250ms for stateless, on-demand ML serving.

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani logoBP

Birla Institute of Technology and Science, Pilani

Bachelor of Technology, Electronics and Instrumentation Engineering

2019 - 2023

Grade: 9.14/10.0

Earned a Bachelor of Technology in Electronics and Instrumentation Engineering from BITS Pilani (2019–2023), graduating with a GPA of 9.14/10.0.

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