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I'm Siddharth, a Software Engineer & AI/ML Engineer focused on shipping production-ready intelligent systems—from real-time computer vision to cost-aware multi-agent workflows. I'm currently pursuing my M.S. in Computer Science at RIT (2024–2026) and open to Summer/Fall 2026 internships and co-ops in backend, ML, and AI infrastructure roles.
class SiddharthBhople:
def __init__(self):
self.role = "Software Engineer | AI/ML Engineer"
self.education = "M.S. Computer Science @ RIT (2024-2026)"
self.location = "Rochester, NY"
self.skills = {
"languages": ["Python", "Java", "JavaScript", "TypeScript", "SQL", "C#", "F#"],
"frontend": ["React", "Vite", "Tailwind CSS", "Recharts"],
"backend": ["FastAPI", "Node.js", "REST APIs"],
"ml_data": ["scikit-learn", "TensorFlow", "XGBoost", "LangGraph", "Pandas", "NumPy"],
"computer_vision": ["OpenCV", "MediaPipe"],
"databases": ["PostgreSQL", "MongoDB", "MySQL", "Firebase"],
"tools": ["Docker", "AWS", "Git", "GitHub Actions", "VS Code"]
}
def current_focus(self):
return [
"🤖 Agentic AI & Multi-Agent Systems",
"👁️ Computer Vision & Accessibility Tech",
"☁️ Cloud Governance & FinOps",
"📊 Production ML Pipelines"
]
def fun_fact(self):
return "I build systems where data meets software—not just notebooks!"
Recently shipped and active development.
Building a real-time American Sign Language action recognition system that captures webcam video, extracts multi-hand 3D hand landmarks with MediaPipe, and runs a sliding-window LSTM over 30-frame sequences. 🎯 Key Features:
Tech: 
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Budget-Aware AI Squad — a completed multi-agent orchestration stack with real-time fiscal governance: circuit breakers, cost forecasting, and complexity-aware routing (including frugal Ollama paths) so autonomous workflows avoid runaway spend. Validated against live AWS (S3) in addition to LocalStack simulation; includes a Cyber-FinOps interactive showcase on Vercel. 🎯 Highlights:
Tech: 
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Agentic AI • Multi-Agent Systems • FinOps Budget-Aware AI Squad — proactive governance for agentic cloud workloads: Agentic Circuit Breakers, complexity-aware routing to Ollama when budgets are stressed, simulated and historical cost signals, plus live AWS validation. Completed with an interactive React + Vite showcase deployed on Vercel.
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Machine Learning • Bioinformatics • Explainability ML pipeline analyzing TCGA RNA-Seq data for 5 cancer subtypes. Achieves 100% F1-score, identifies 50 HGNC-verified biomarkers.
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Full Stack • ML Predictions • Data Viz Real-time stock analysis dashboard with ML predictions, anomaly detection, technical indicators & sentiment analysis.
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NLP • TF-IDF • Content-Based Filtering Netflix-inspired movie recommendation system with TF-IDF + Cosine Similarity. Features 4,800+ movies with bigram support for better accuracy.
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Big Data • Data Engineering • Mining Analysis of ~50M Reddit comments. 3-phase pipeline: PostgreSQL (relational), MongoDB (document), and Apriori association rule mining.
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Computer Vision • ML • Accessibility Real-time American Sign Language action recognition using multi-hand 3D landmarks and a sliding-window LSTM over 30-frame sequences, designed to scale to the WLASL100 vocabulary.
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🧩 View More Projects
| Project | Description | Tech |
|---|---|---|
| Portfolio Website | Modern portfolio showcasing projects & experience — Live | React Tailwind CSS |
| F-Applications | Functional Data Science with F# — analysis, cleaning & visualization | F# Deedle Plotly.NET |
| Sudoku Solver | Algorithmic puzzle solver with clean OOP design | C# .NET |
| PG Life | Full-stack housing platform with optimized SQL | PHP MySQL |
| Weather App | Real-time weather application | JavaScript API |
