class Anantharamakrishnan:
def __init__(self):
self.name = "Anantharamakrishnan S"
self.university = "SASTRA Deemed University"
self.year = "3rd Year B.Tech CSE"
self.focus = ["Reinforcement Learning","Computer Vision"]
self.belief = "Build from scratch. Understand everything. Then go faster."Factory Mind : Working on a Factory Simulation Model which can autonomously and dynamically adapt to changing work environments and demands.
Dynamic Pricing of Electricity : Agentic AI based electricity pricing
Languages
ML / CV / RL
Robotics / Embedded
Tools
| Project | What it does | Stack |
|---|---|---|
| FactoryMind (Currently being worked on) | Custom Gymnasium-based factory scheduling simulator featuring a Maskable PPO RL agent, Human-in-the-Loop (HITL) oversight, and local LLM-powered Explainable AI (XAI) | Gymnasium, Stable-Baselines3, FastAPI, Ollama |
| AIBodyScanner | End-to-end web app for body composition estimation using YOLOv8 and HMR2 to reconstruct 3D human meshes from 2D photos and extract anatomical measurements | PyTorch, FastAPI, YOLOv8, 4D-Humans |
| Multivariate Linear Regression | Built from scratch — vectorized gradient descent, L1/L2 regularization, custom eval pipeline | NumPy, Streamlit |
| Adaptive Sensor Filter | Multithreaded ROS 2 pipeline with online SGD for real-time sensor noise filtering | ROS 2, Scikit-Learn, C++ |
| Dynamic Pricing of Electricity (Currently being worked on) | Agentic AI based electricity pricing | PyTorch, QLoRA |
- 🏆 LeetCode — Global top 15%, contest rating 1690+, 350+ problems solved
- 📋 TCS CodeVita 2025 — Qualified to Round 2
- 🤖 ICPC — Regional participant
- 📡 IEEE Member — Computer Society
