Aditya Gambhir
Open to Opportunities

Hello, I'm Aditya

M.S. Computational Data Science • Full-Stack Developer • AI Applications Engineer

Software & ML engineer turning sensor, geospatial, and text data into real-time, cloud-native products. Experienced across MERN, Spring Boot, and distributed ML pipelines for computer vision, sensor fusion, and analytics.

About Me

Aditya Gambhir

Aditya Gambhir

AI/ML Engineer

I hold an M.S. in Computational Data Science from UC Riverside and build production-grade software end-to-end. My focus is backend and platform work, FastAPI/Node REST services, PostgreSQL/Redis, Docker/Kubernetes, and CI/CD paired with React/TypeScript UIs when needed. In industry, I delivered contract automation and analytics apps, hardened auth (OAuth2/OIDC), and shipped an internal mock-API service adopted by 500+ developers. I also work with data pipelines (Spark/Hadoop, PostGIS) for geospatial use cases. I’m currently learning and developing projects using agentic AI, exploring LLM apps, RAG, and tool-using agents, and applying software-engineering rigor to ship reliable products.

Full Stack Development
Building scalable applications with modern technologies across the stack.
AI/ML Engineering
Developing intelligent systems and fine-tuning large language models.
Cloud Architecture
Designing and implementing scalable cloud solutions on AWS.
Performance
Optimizing systems for high performance and efficiency.
Collaboration
Thriving in fast-paced environments and cross-functional teams.
Problem Solving
Bridging real-world problems with cutting-edge technology.

Dual Expertise

Data Scientist / ML Engineer

  • Built a transformer-based crowd-localization model in PyTorch with a 12% accuracy lift and fewer ambiguous detections, validated across five datasets
  • Developed an NLP chatbot using Transformer, achieving BLEU 25.67, 35% higher than LSTM while optimizing cloud compute costs by 15%
  • Implemented statistical anomaly detection in backend services via Jenkins CI/CD, flagging 5 critical issues and improving overall reliability by ~20%
PyTorchTransformersScikit-LearnPandas/NumPySpark

Software Engineer (Backend & Full-Stack)

  • Delivered a Mock API service for 500+ developers to simulate 15+ REST endpoints, speeding integration tests by ~15%
  • Automated contract intake with React 18 + TypeScript on Spring Boot REST (SQS + PostgreSQL), cutting processing time by 35%
  • Hardened OAuth2/OIDC across microservices resolved 5 critical vulnerabilities and reduced PR review time by 20%
  • Containerized and deployed services with Docker & Kubernetes + GitHub Actions; health checks + OpenAPI sustained 99.99% uptime
Node.jsReact/TypeScriptSpring BootFastAPIPostgreSQLDockerGitHub ActionsAWS
1.5+
Years Experience
10+
Projects Delivered
MERN & DS
Technology Expertise
3.67
M.S. GPA
1
Peer-reviewed Publications

Skills Matrix

Skills Matrix

Languages

6 skills

⚛️

Frontend & UI

12 skills

🟢

Backend & APIs

10 skills

🐼

Data / AI Libraries

14 skills

💻

Big Data & Analytics

8 skills

💻

Cloud & DevOps

14 skills

🐘

Databases & Storage

10 skills

📝

Tooling & Productivity

16 skills

Languages

Java
Python
JavaScript
TypeScript
SQL
Bash

⚛️Frontend & UI

React
React Hook Form
Recharts
React Hooks
React Redux
Next.js
Tailwind CSS
HTML5 / CSS3
D3.js
TanStack Table
Leaflet.js
Streamlit

🟢Backend & APIs

Node.js
Express.js
FastAPI
Django
Flask
REST
Auth (OAuth2/OIDC, JWT)
Prisma ORM
Microservices
GraphQL

🐼Data / AI Libraries

Pandas
NumPy
TensorFlow
Geopandas
Shapely
GDAL
PyTorch
Scikit-learn
Keras
OpenCV
Transformers
Seaborn
Matplotlib
SpaCy

💻Big Data & Analytics

Apache Spark
Hadoop
Kafka
Snowflake
BigQuery
A/B Testing
Data Mining
Statistical Data Analysis

💻Cloud & DevOps

AWS (EC2, S3, Lambda)
GCP
Azure
Docker
Kubernetes
Nginx
Prometheus
Grafana
Sentry
GitLab CI/CD
GitHub Actions
Jenkins
Linux (Ubuntu)
Monitoring & Observability

🐘Databases & Storage

PostgreSQL
MySQL
MongoDB
SQLite
Redis
TimeScaleDB
ChromaDB
PostGIS
AWS Redshift
AWS S3

📝Tooling & Productivity

Git
Jira
VS Code
IntelliJ IDEA
Jupyter Notebook
Postman
Prisma
Swagger
OpenAPI
Excel
Tableau
Power BI
Pytest
Jest
Vercel
Render

Featured Projects

Explore all projects
Navigate LA28 interactive map UI

Navigate LA28: Real-Time Geospatial Navigation

Big-data geospatial platform delivering dynamic routing and urban-planning analytics for the LA 2028 Olympics.

  • Spark + PostGIS
  • Leaflet.js maps
  • Docker microservices
ReactLeaflet.jsFastAPIApache SparkPostGISDocker+2 more
Dockership freight-ship management UI

Dockership: Optimized Freight Ship Management System

Containerized application that automates container loading, unloading, and weight-balancing for freight ships.

  • Dockerized deployment
  • Real-time 2D visualization
  • MongoDB Atlas
PythonStreamlitDockerMongoDB AtlasPytest

Experience Timeline

  • One Community Global

    Software Developer

    • Onboarded to the Highest Good Network; analyzed React/Node/MongoDB architecture and ran structured PR reviews using GitHub, ESLint, and Jest, clarifying docs and reducing post-merge fixes ~20% across eight merged changes.
    • Developed role-based safeguards and client-side validation for time-log entries across React UI and Express REST endpoints; prevented duplicates and unauthorized edits, lowering 4xx errors from 7% to 4% in QA and boosting reliability.
    • Shipped UI refinements and accessible form patterns in React/TypeScript with Axios integrations; improved task and project workflows, increasing successful form submissions 25% and reducing average user steps per update from five to three.
    • Enhanced CI/CD by adding GitHub Actions checks and Jest/Postman smoke tests; accelerated feedback loops and reduced regressions, cutting PR cycle time from three days to thirty-six hours and raising first-pass build success to 90%.
  • Tech Mahindra

    Software Development Intern

    • Built an internal Mock API service so teams could simulate 15–20 endpoints and test earlier, cutting integration test time by ~15%.
    • Kept the service fast under load, with ~220 ms response times at 60–120 requests/second by adding server-side caching, sensible rate limits, and performance dashboards.
    • Standardized sign-in and API security with OAuth2/OIDC via Okta, resolving 5 critical issues and strengthening our security posture.
    • Reduced breaking changes by enforcing OpenAPI contracts in CI, blocking merges when code and spec didn’t match and auto-generating typed clients.
    • Lifted team throughput ~25% (24→30 pts/sprint) and sped up PR reviews ~20% by introducing a clear Definition of Done, a concise PR template, and a 75% test-coverage gate.
  • Tech Mahindra

    Software Development Intern

    • Replaced PDF forms with a web intake, cutting contract processing time by ~35%; built a React front end with Spring Boot APIs and automated PDF/email notifications.
    • Improved reliability and lowered typical API response from 1.3s to 0.85s by indexing PostgreSQL and moving email to background jobs; raised automated test coverage to ~80% backend / ~75% frontend.
    • Launched a sales analytics dashboard that reduced time-to-insight by ~30%; delivered with React and a Node API, then sped up charts via query tuning and caching.
    • Added role-based access (employees/managers/admins) with single sign-on via Auth0, reducing authentication errors by ~40%.
    • Containerized services and set up Docker-based CI/CD to AWS, trimming manual deployment steps by ~25% and preventing spec-breaking changes.
  • Centre for Development of Advanced Computing (C-DAC)

    Research & Development Intern

    • Built a real-time EEG research platform that cut setup time by ~40% and increased daily recording throughput by 25-30%.
    • Delivered smooth live charts with ~320 ms end-to-end latency while streaming ~240 messages per second over WebSockets.
    • Maintained 99.9% service uptime (May-June) by adding proactive health checks and clear monitoring/alerts.
    • Secured a multi-user lab with single sign-on and role-based permissions; every endpoint was authenticated and fully audited.
    • Reduced infrastructure and storage costs by ~52% and sped up releases through automated build/deploy pipelines.

Education

M.S. Computational Data Science

University of California, Riverside

GPA: 3.67/4

Relevant Coursework

Data MiningBig Data ManagementSpatial ComputingMachine LearningAdvanced Computer Vision

B.Tech Computer Engineering

Vishwakarma Institute of Information Technology

GPA: 9.62/10

Relevant Coursework

Data Structures & AlgorithmsOperating SystemsComputer NetworksSoftware EngineeringDatabase Management

Publications

Certifications

  • Sensor Fusion Nanodegree

    Udacity

    Advanced sensor-fusion techniques for autonomous systems

    Click to view
  • Microservices with Java Spring Boot and Spring Cloud

    Udemy

    Comprehensive microservices architecture with Spring

    Click to view
  • Solidity Smart Contract Programming for Ethereum Blockchain

    Infosys

    Blockchain development & smart-contract programming

    Click to view
  • Dell Artificial Intelligence Foundations

    Dell Technologies

    Foundational AI concepts and ML principles

    Click to view
  • Deep Learning and NLP A–Z: How to Create a Chatbot

    Udemy

    Natural-language processing & chatbot development

    Click to view
  • Machine Learning A–Z: Hands-On Python & R in Data Science

    Udemy

    Comprehensive ML with Python and R

    Click to view
  • Fundamentals of Deep Learning

    NVIDIA

    Neural-network fundamentals & GPU acceleration

    Click to view
  • CCNAv7: Introduction to Networks

    Cisco

    Networking fundamentals & Cisco technologies

    Click to view
  • JavaScript Course 2021: From Zero to Expert

    Udemy

    Modern JavaScript development & ES6 + features

    Click to view
  • Object-Oriented Data Structures in C++

    Coursera

    Advanced C++ programming & data structures

    Click to view
  • Programming for Everybody (Getting Started with Python)

    Coursera

    Python programming fundamentals

    Click to view

Get In Touch

Ready to collaborate on your next project? Let's discuss how I can help bring your ideas to life.

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