---
title: "Naman Bansal - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Naman Bansal, SDE II @JPMC | JPMC CFG’22 Winner | Finalist @SparktechShowcase Walmart | Finalist @Techgig CodeGladiator | FullStack Developer | Computer Vision | AWS | ML | DL | NLP | Python | Java | C++ | Git based in Bengaluru. AI stack includes claude code, codex, and deepseek. Explore publ..."
image: "https://tal.club/meet/naman-bansal-2/share-image"
---

# Naman Bansal on Tal

## Headline

SDE II @JPMC \| JPMC CFG’22 Winner \| Finalist @SparktechShowcase Walmart \| Finalist @Techgig CodeGladiator \| FullStack Developer \| Computer Vision \| AWS \| ML \| DL \| NLP \| Python \| Java \| C\+\+ \| Git

## About

Full\-Stack Developer \| Problem Solver \| AWS Enthusiast Passionate and results\-driven software developer with experience in building scalable, high\-performance applications using modern technologies like Java, React, and Spring Boot\. Currently working as an SDE I at JP Morgan Chase, where I’ve optimized database operations, reducing execution times by over 90%, and automated workflows to boost efficiency by 95%\. Key highlights of my journey include: Award\-Winning Projects: Recipient of the JPMC Gremmy Award for delivering the fastest and most successful project go\-live\. Innovator: Creator of ML Made Easy, showcased at TechExpo'2022, IIT Guwahati, and a finalist at Walmart Converge'2022\. Global Representation: Represented JPMC at the AWS Global Summit after ranking 2nd in AWS DeepRacer India\. I bring a solid technical foundation in Java, Python, React, Spring Boot, and AWS alongside a problem\-solving mindset that drives impactful results\. With a knack for taking on challenges, I aim to create seamless, user\-focused solutions that blend innovation and efficiency\. Let’s connect to discuss how I can contribute to building impactful technology solutions\!

## Location

Bengaluru

## AI stack

claude code

codex

deepseek

github copilot

grok

hugging face

## Work experience

Software Engineer 2 at JPMorganChase, Jan 2026 \- Present · 10 mos, Bengaluru, DART\-SEZ: Procurement amp; SEZ Compliance Workflow Platform \| Technical Lead / Full Stack Developer ·nbsp; Led the end\-to\-end technical design and development of DART\-SEZ from the ground up, defining the architecture, technology stack, module boundaries, and engineering patterns for an enterprise procurement and SEZ compliance platform\. ·nbsp; Architected a 12\+ module backend using hexagonal architecture, establishing clear separation of domain, application, and infrastructure concerns to improve maintainability, testability, and extensibility\. ·nbsp; Directed implementation of Camunda BPMN\-based workflows supporting 6\+ procurement and compliance request types, defining standardized approval actions and end\-to\-end audit trails using Hibernate Envers\. ·nbsp; Owned key platform architecture and integrations, including Liquibase\-first schema management, centralized document storage, security, and integrations with 5\+ enterprise systems \(CTSI, GREIS, DART, IDA S3, ADFS\) with resilient API handling\. ·nbsp; Guided full\-stack delivery across backend and frontend, building role\-based React experiences with React Query/Zustand and establishing Jenkins/Jules CI/CD pipelines; introduced AI\-assisted codebase mapping that reduced new\-developer ramp\-up to \~2 days\.

Software Engineer I at JPMorganChase, Jul 2023 \- Jan 2026 · 2 yrs 7 mos, Bangalore Urban, Karnataka, India, • Designed and delivered full\-stack solutions integrating React, Angular, Java Spring Boot, and MySQL, driving scalable and seamless user experiences\. • Optimized database operations, reducing execution times from 15\-16 hours to 2\-3 minutes using advanced query optimization and asynchronous programming \(WebClient, Flux, CompletableFuture\)\. • Automated workflows using custom Python scripts, achieving a 95% boost in efficiency and significantly reducing manual tasks\. • Managed AWS deployments with Jenkins and Terraform, streamlining CI/CD pipelines for faster and more reliable application delivery\. • Built dynamic and responsive frontend interfaces with React and Angular, applying best practices in UI/UX design to drive user engagement and improve satisfaction\. • Led cross\-functional collaboration, ensuring high\-quality, end\-to\-end functionality through thorough testing, debugging, and code reviews while aligning with best practices to enhance development workflows\. • Embraced new technologies rapidly to optimize processes, improve performance, and adapt to evolving business requirements\.

SEP Intern at JPMorganChase, Jan 2023 \- Jul 2023 · 7 mos, Bangalore Urban, Karnataka, India

SDE Intern at ProductizeTech, Jun 2022 \- Dec 2022 · 7 mos, Mumbai, Maharashtra, India, • Developed a Product Preference Engine utilizing the Cosine Similarity algorithm to recommend products based on ingredients, leveraging a database of 10,000\+ products for highly personalized recommendations\. • Created an ATS and Resume Parser that efficiently categorizes and summarizes resume information, matching over 1,000 resumes to job descriptions using NLTK and Spacy, improving recruitment workflows\. • Engineered a Video Transcription and Speaker Classification Software using AWS Transcribe and S3, implementing an asynchronous architecture with Redis\-queue and Celery, and Dockerizing the entire solution for scalability and deployment\.

Summer Intern at LinuxWorld Informatics Pvt Ltd, May 2021 \- Aug 2021 · 4 mos, Jaipur, Rajasthan, India, • Researched and applied ML/DL concepts, including OpenCV, DevOps tools \(Git/Docker\), and object detection, while leading a team of 5 learners to enhance project outcomes\. • Developed a Video Calling Server using Socket programming, and built robust Object Detection models using YOLO and CNN, optimizing real\-time performance\. • Designed an ANPR \(Automatic Number Plate Recognition\) model using Cascade Classifiers and Tesseract OCR for number plate 4detection, and a Sign Language Detection Model utilizing CNN for gesture recognition\.

## Education

Bachelor of Technology \- BTech, Computer and Information Sciences and Support Services and electronics, Thapar Institute of Engineering & Technology

Maharaja Agarsain Public School \- India

## Public links

- github: https://github\.com/This\-is\-nb

[View the original profile](https://tal.club/meet/naman-bansal-2)

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