Industry Experience
3+ Years
Shipped enterprise and embedded software across internships and full-time roles.
Open to opportunities
Distinct Value
I build high-performance interfaces for data-heavy products and real-world systems.
Frontend engineer with production experience across enterprise workflows, API tooling, and IoT-driven products. I focus on speed, clarity, and maintainable architecture that teams can actually ship with.
Current focus:
Open to opportunitiesProject Intern @ OracleM.Tech (AI & Data Science) @ NIT Durgapur
Case Studies
3 Deep Dives
Each project explains the problem, engineering decisions, and measurable outcomes.
Public Profiles
5 Platforms
GitHub, LinkedIn, LeetCode, HackerRank, and X with public proof of work.
Keshav Kumar Jha
Frontend Engineer | AI & Data Systems
- Production feature development at Oracle (Aconex ecosystem).
- Experience across React, backend APIs, and embedded ML workflows.
- Strong focus on reliability, performance, and practical user impact.
About
From embedded devices to enterprise UIs, I build for real constraints.
My edge is cross-domain thinking: I can reason about product UX, backend integration, and system behavior together. That helps me build interfaces that are not just attractive, but operationally reliable.
Experience Snapshot
Jan 2026 - Present
Project Intern @ Oracle
Contributing to Aconex features, bug fixes, and OCI deployment workflows in production systems.
- Implemented product features across frontend and backend modules.
- Resolved defects in customer-facing workflows with production log validation.
- Worked with RapidUI, Spring Boot, and Oracle ecosystem tooling.
Apr 2022 - May 2025
Software Engineer @ Distronix
Built and maintained software for enterprise operations, automation hardware, and public systems.
- Built backend services for an employee management system using Node.js.
- Developed control workflows for boom barrier automation with ESP32 integration.
- Maintained Raspberry Pi-based public information systems in production.
Education Context
2024 - 2026
M.Tech in AI & Data Science
NIT Durgapur
Focused on machine learning, data systems, and practical deployment patterns for real-world applications.
2018 - 2022
B.Tech in Computer Science
University of Engineering and Management, Kolkata
Built core foundations in software engineering, data structures, and system design.
How I Build
Engineering approach that shows how I think, not just what I ship.
Hiring teams care about decisions and tradeoffs. These are the principles I use when building product features and interfaces.
Design Around User Workflows
I start from high-friction user actions and optimize the journey before polishing visuals.
Tradeoff
May delay visual details early, but it prevents pretty-yet-useless interfaces.
Applied Example
In API tooling projects, request history and environment handling came before aesthetic tweaks.
Optimize Perceived Performance
Fast feels better than complex. I reduce blocking UI work and prioritize smooth interactions.
Tradeoff
Adds engineering effort in state structure and rendering boundaries.
Applied Example
On dashboard-style pages, I split heavy components and use progressive loading patterns.
Document Decisions And Tradeoffs
I capture why a stack or pattern was chosen so maintenance is easier for the next engineer.
Tradeoff
Slightly slower implementation, much faster onboarding and debugging later.
Applied Example
For each flagship project, I include stack choices, constraints, and what I would improve next.
Project Case Studies
Not just screenshots. Problem, decisions, and impact.
Each project answers what problem it solves, what I owned, and what technical decisions made it work.
REST Project
A fast API workbench inspired by Postman with developer-first workflows.
Problem
Manual API testing was fragmented across multiple tools and repeated setup consumed significant debugging time.
My Contribution
I designed and built the frontend experience, request lifecycle flows, and reusable components for request/response inspection.
Impact
Created a single workspace for API exploration, reducing repetitive setup and making endpoint validation significantly quicker.
ReactTypeScriptREST APIsTailwind CSSVercel
Sound Classification With ESP32S3
An edge-ML system that classifies ambient sound categories directly on embedded hardware.
Problem
Real-time sound classification often depends on cloud inference, which introduces latency and connectivity constraints.
My Contribution
I implemented the embedded inference pipeline, model integration, and signal-processing workflow on ESP32 hardware.
Impact
Enabled local inference for six sound categories, demonstrating a low-latency offline pipeline for edge environments.
ESP32S3TensorFlow LitePythonEmbedded C/C++IoT
Learn Project
A course delivery platform with progress-focused student workflows.
Problem
Learners needed a lightweight platform to discover courses, track progress, and continue content without friction.
My Contribution
I built major frontend flows, integrated backend endpoints, and shaped the user journey from course discovery to consumption.
Impact
Delivered a functional e-learning experience with course browsing, enrollment-style flow, and student-friendly navigation.
ReactNode.jsMongoDBExpressJWT
Skill Focus
Core strengths first, supporting tools second.
I prioritize depth in a few high-leverage areas instead of listing every technology I've touched.
Frontend Architecture
Building scalable React/Next.js interfaces that remain fast under data-heavy workloads.
ReactNext.jsTypeScriptState ManagementPerformance Optimization
API And Backend Integration
Designing reliable API interactions and backend workflows for production web applications.
Node.jsExpressREST APIsPostgreSQLMongoDBSpring Boot
Applied AI And IoT Systems
Combining embedded systems with ML pipelines to solve real-world sensing and automation problems.
PythonTensorFlowESP32Raspberry PiData Science
Supporting Tools
Delivery And Collaboration
Tooling I use to ship production-ready software in teams.
GitDockerFirebaseVercelJiraConfluence
Trust Signals
Proof of work, not just claims.
If you want to validate output quickly, these links point directly to my activity, resume, and professional profile.
Quick Validation Links
Public Profiles
Explore coding activity, competitive programming, and professional background.
Contact
Let's build something useful, not just flashy.
Share your project context and I'll respond with clear next steps. I typically reply within 24 hours.