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