Saksham Gupta SakshamDev

Saksham Gupta

EEE Undergrad @ BITS Pilani · ML Researcher · Builder

`$ whoami`

class Saksham:
    def __init__(self):
        self.name        = "Saksham Gupta"
        self.alias       = "SakshamDev"
        self.university  = "BITS Pilani, Hyderabad Campus"
        self.degree      = "B.E. Electrical & Electronics Engineering"
        self.year        = "First Year"

        self.communities = ["ACM BPHC — ML Team", "IEEE Student Branch — ML/Ops"]
        self.interests   = ["Machine Learning", "Healthcare AI", "Edge ML", "Quant Research"]
        self.superpower  = "Seeing circuits in neural nets and neurons in circuits"

    def currently(self):
        return {
            "building"  : "Indian Equity Portfolio Optimizer (MPT + full-stack)",
            "studying"  : "Advanced ML, arXiv paper replications in PyTorch",
            "targeting" : "GSoC 2026",
            "vibe"      : "🎸 Detoxing"
        }

    def __repr__(self):
        return "Human(curious=True, caffeine_dependent=True, will_figure_it_out=True)"

`$ ls ./projects`

🫀 Heart Disease Predictor

Can an algorithm hear what a stethoscope misses?

ML classification pipeline on clinical data — custom feature engineering, 86.67% accuracy. Currently adding SHAP explainability to make the black box speak.

Python Scikit-Learn Pandas SHAP

📈 Indian Equity Optimizer

Markowitz never traded on NSE. I'm fixing that.

Full-stack web tool computing optimal portfolio weights using Modern Portfolio Theory — live NSE ticker data, efficient frontier visualization.

Python React Flask NSE API

`$ cat ./tech_stack.json`

{
  "languages": {
    "proficient" : ["Python", "C", "C++", "JavaScript"],
    "markup"     : ["HTML", "CSS", "Markdown"]
  },
  "ml_toolkit": {
    "core"       : ["Scikit-Learn", "NumPy", "Pandas", "Matplotlib"],
    "learning"   : ["PyTorch", "SHAP", "HuggingFace Transformers"]
  },
  "web": {
    "frontend"   : ["React", "HTML/CSS"],
    "backend"    : ["Node.js", "Flask"]
  },
  "tools"       : ["Git", "GitHub", "VS Code", "Jupyter", "Linux"],
  "status"      : "actively_upgrading"
}

`$ top --processes`

PID   PROCESS                     CPU    STATUS
───   ─────────────────────────   ────   ──────────────────────────────
001   gsoc_prep.service           HIGH   🟢 active  — exploring orgs
002   pytorch_papers.exe          HIGH   🟢 active  — replicating arXiv
003   heart_disease_v2.py         MED    🟡 building — adding SHAP + deploy
004   quant_alpha_research.sh     MED    🟡 active  — WorldQuant-style sims
005   ml_internship_hunt.cron     LOW    🔵 running — remote applications
006   eee_coursework.ko           BG     ⚪ always running (it's a degree)

`$ git log --oneline --graph`

* 🧠  Working on NLP & Computer Vision projects (RAG, YOLOv8)
* 📊  Deployed Indian Equity Portfolio Optimizer
* 🫀  Built Heart Disease Predictor — 86.67% accuracy
* 🌐  Custom portfolio site with canvas animations
* ⚡  Joined ACM BPHC ML Team + IEEE ML/Ops Team
* 🎓  Started B.E. EEE @ BITS Pilani, Hyderabad

`$ ping --social`

╔══════════════════════════════════════════════════════╗
║                                                      ║
║   "The best way to predict the future is to          ║
║    build it — one commit at a time."                 ║
║                                                      ║
║   [ saksham@github ~]$ _                             ║
║                                                      ║
╚══════════════════════════════════════════════════════╝

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