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ADITYA GAIKWADAG
Open to opportunities

ADITYA GAIKWAD

@adityagaikwad

Final-year CS student building production-grade full-stack apps with secure auth, strong APIs, and applied ML.

India
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What I'm looking for

I’m looking to build and ship full-stack systems with secure authentication, reliable REST APIs, and thoughtful testing. I want ownership across the application lifecycle and the chance to apply AI/ML responsibly where it adds measurable value.

I’m a final-year Computer Science student who has shipped production-grade applications end-to-end—from UI design through REST API development, database modeling, and cloud deployment. I focus on clean architecture, reliable integrations, and secure authentication flows.

In a Research & Development internship, I collaborated on a data-intensive project and contributed technical documentation, test planning, and structured validation coverage (unit, integration, regression). I also built end-to-end pipelines for hyperspectral datasets and trained/validated models on an NVIDIA DGX Station, achieving 96%+ regression accuracy on moisture, ash, and GCV quality parameters.

In my Nexus AI Agent Command Center project, I built and deployed a full-stack Next.js + TypeScript application integrating four third-party REST APIs (Gmail, GitHub, Slack, Discord) using Auth0 Token Vault for secure, zero-exposure credential management. I implemented a centralized backend risk engine and enforced step-up authentication for medium-risk write actions, along with real-time audit logging and crash recovery.

I also delivered Harvestify (Flask + React) with a relational SQL database, optimized query performance by redesigning schema and tuning indexes, and implemented RESTful endpoints with functional and integration testing. For applied research, I developed an IEEE-accepted image-based forest analysis pipeline, including data annotation/augmentation and YOLOv8 benchmarking with balanced precision-recall results.

Experience

Work history, roles, and key accomplishments

RN

Research & Development Intern

RCOEM Nagpur

May 2025 - Jun 2025 (1 month)

Collaborated with Western Coalfields Limited on a data-intensive project, creating data flow diagrams and technical documentation while producing a unit, integration, and regression test plan. Built end-to-end hyperspectral data pipelines and trained/validated models on an NVIDIA DGX Station, achieving 96%+ regression accuracy for Moisture, Ash, and GCV.

Education

Degrees, certifications, and relevant coursework

SM

Shri Ramdeobaba College of Engineering and Management

B.Tech in Computer Science and Engineering, Computer Science and Engineering

2023 -

Grade: CGPA: 8.11 / 10

Pursuing a B.Tech in Computer Science and Engineering (2023–2026) at Shri Ramdeobaba College of Engineering and Management, with a CGPA of 8.11/10.

GN

Government Polytechnic, Nagpur

Diploma in Computer Science, Computer Science

2020 - 2023

Grade: 93%

Completed a Diploma in Computer Science (2020–2023) at Government Polytechnic, Nagpur, with 93%.

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