Rohit Bajaj profile photo 1 on Tal

Rohit Bajaj

SDE 2@JP Morgan Chase & Co. || Former Data Science Intern @GE || PEC CSE’23

Hyderabad

3+ years of work experience

JPMorganChase
Jan 20268 mosPresent

Hybrid

• Built an MCP-based AI Context Server to address context loss in AI-assisted engineering workflows and improve access to business and system knowledge. • Developed MCP tools for database exploration, business context management, and telemetry tracking, improving developer productivity. • Collaborated with team members to identify productivity bottlenecks and drive adoption of AI-powered development workflows.
JPMorganChase
Aug 20232 yrs 5 mosDec 2025

Hyderabad

• Delivered backend services and APIs for a large-scale analytics platform, leveraging event-driven architecture and parallel processing to support 1M+ transactions. • Established key frontend foundations, including application routing and navigation patterns, enabling scalable growth across interconnected dashboards and workflows. • Drove application-wide component testing with Cucumber, achieving 94% coverage across 100+ scenarios and significantly reducing manual regression effort. • Built Python-based ETL solutions and proof-of-concepts to streamline data onboarding and operational workflows.
GE
Jan 20227 mosJul 2022

Bengaluru

• Enhanced an OpenCV-based Auto Image Capture system by adding real-time positioning guidance, motion stabilization, and adaptive capture logic for large machine parts, improving operator experience and reducing image retakes. • Built a Python-based OCR evaluation framework with custom accuracy metrics (including Levenshtein distance analysis) to identify model performance gaps and support targeted improvements. • Automated the end-to-end OCR evaluation pipeline using AWS, eliminating manual reporting by continuously processing prediction data and publishing performance insights to Tableau dashboards.

Rohit’s AI Stack

antigravity
antigravity
codex
codex
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Education

PEC University of Technology, Chandigarh

Bachelor of Technology - BTech, Computer Science

PEC University of Technology, Chandigarh

20194 yrs2023

Non-Medical

Govt. Model Sr. Sec. School 35-D Chandigarh

20162 yrs2018

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Headline

SDE 2@JP Morgan Chase & Co. || Former Data Science Intern @GE || PEC CSE’23

About

Software Engineer (SDE II) at JPMorgan Chase with experience building scalable backend systems, data-intensive applications, and developer productivity solutions. I work across Spring Boot, Kafka, React, Python, and AWS, delivering end-to-end features from system design to production deployment. My interests include distributed systems, platform engineering, AI-assisted development workflows, and building reliable software that scales.

Location

Hyderabad

AI stack

antigravity

codex

cursor

Work experience

Software engineer 2 at JPMorganChase, Jan 2026 - Present · 8 mos, Hybrid, • Built an MCP-based AI Context Server to address context loss in AI-assisted engineering workflows and improve access to business and system knowledge. • Developed MCP tools for database exploration, business context management, and telemetry tracking, improving developer productivity. • Collaborated with team members to identify productivity bottlenecks and drive adoption of AI-powered development workflows.

Software Engineer at JPMorganChase, Aug 2023 - Dec 2025 · 2 yrs 5 mos, Hyderabad, • Delivered backend services and APIs for a large-scale analytics platform, leveraging event-driven architecture and parallel processing to support 1M+ transactions. • Established key frontend foundations, including application routing and navigation patterns, enabling scalable growth across interconnected dashboards and workflows. • Drove application-wide component testing with Cucumber, achieving 94% coverage across 100+ scenarios and significantly reducing manual regression effort. • Built Python-based ETL solutions and proof-of-concepts to streamline data onboarding and operational workflows.

Data Science Intern at GE, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, • Enhanced an OpenCV-based Auto Image Capture system by adding real-time positioning guidance, motion stabilization, and adaptive capture logic for large machine parts, improving operator experience and reducing image retakes. • Built a Python-based OCR evaluation framework with custom accuracy metrics (including Levenshtein distance analysis) to identify model performance gaps and support targeted improvements. • Automated the end-to-end OCR evaluation pipeline using AWS, eliminating manual reporting by continuously processing prediction data and publishing performance insights to Tableau dashboards.

Education

Bachelor of Technology - BTech, Computer Science, PEC University of Technology, Chandigarh

Non-Medical, Govt. Model Sr. Sec. School 35-D Chandigarh

Rohit Bajaj - Software engineer 2 in Hyderabad | Tal