Seeking SDE / ML roles

Hi, I'm
Satyam Samanta.

AI & Full-Stack Developer specializing in AI/ML pipelines, Deep Learning, and scalable full-stack web applications.

0 Years engineering
0 Projects shipped
0 Patents/Papers

A bit about me

I'm a final-year Computer Science Engineering student at MVJ College of Engineering. My passion lies in building scalable, data-driven products that bridge the gap between complex machine learning models and user-friendly web applications.

Currently, my work focuses on Deep Learning, multi-signal forensic pipelines, and full-stack development. I have filed a provisional patent for an AI-Based E-Waste Collection System and have published research on Explainable Deepfake Detection.

Languages

Python C/C++ Java JavaScript TypeScript SQL

AI & Full-Stack Web

TensorFlow PyTorch Scikit-learn React Next.js Node.js FastAPI PostgreSQL

Experience & Education

Professional software engineering experience and academic background.

Freelance Software Developer

May 2026 to Jun 2026

  SLAY AI (Fashion E-Commerce) | Remote

  • Designed and launched SLAY AI, a serverless AI-powered outfit curation platform using React 19, Deno, and Supabase Edge Functions, serving real-time fashion recommendations from 10+ e-commerce platforms.
  • Engineered a weighted product scoring algorithm with budget-constrained combinatorial optimization evaluating up to 1,728 outfit combinations per request, reducing API costs ~40%.

Artificial Intelligence & Machine Learning Intern

Jun 2025 to Jul 2025

  AICTE x Edunet Foundation | Bengaluru, Karnataka

  • Developed a predictive machine learning pipeline using a Gradient Boosting Classifier to automate salary bracket classification for 48,000+ demographic records, achieving an 85.43% accuracy rate.
  • Delivered a production-ready Streamlit web interface enabling HR users to generate instant, confidence-weighted predictions and process mass data via CSV uploads.

B.E. Computer Science and Engineering

Oct 2023 to Present

  MVJ College of Engineering | Bengaluru, Karnataka

  • GPA: 8.53/10
  • Secured 2nd Place in Enigma at NIT Trichy - a national case study challenge.
  • Design Lead at GDG MVJCE - spearheading creative strategy and UI/UX initiatives.

Things I've built

View all on GitHub

RealityGuard AI

A Multi-Signal Deepfake Detection Engine. Architected a forensic pipeline (PyTorch, MTCNN) trained on 34,800+ video samples, achieving 97.42% accuracy by correlating 5 distinct data streams. Published at AITA 2026.

Python PyTorch FastAPI React

EcoScrap Pickup

AI-Based E-Waste Collection System (Patent Pending). Integrated a MobileNetV2 CNN with ~95% accuracy and built a full-stack platform supporting CoppeliaSim-based autonomous drone simulation for e-waste logistics.

React Node.js TensorFlow CoppeliaSim

AI Heart Health DSS

AI-Powered Heart Health Decision Support System. Engineered a multi-model soft voting ensemble analyzing 12,800+ PCG images (96.38% accuracy). Used Harris Hawks Optimization to boost computational efficiency.

Python TensorFlow FastAPI React

Let's work together

Whether you have a project in mind, a role to discuss, or just want to say hello, I'd love to hear from you.

Get in touch

I'm currently seeking Software Development Engineer (SDE) or Machine Learning roles. Response time is usually within 24 hours.