ADITYA GAIKWAD
@adityagaikwad
Final-year CS student building production-grade full-stack apps with secure auth, strong APIs, and applied ML.
What I'm looking for
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
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
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.
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%.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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