AI/ML Engineer | Computer Science Student | Explainable AI & Quantitative ML
Bengaluru, India | Email | GitHub | LinkedIn
I am an undergraduate Computer Science student at PES University specializing in Artificial Intelligence and Machine Learning. I design and build high-performance, data-driven AI systems and quantitative pipelines that solve real-world problems. My experience spans sensor telemetry, time-series anomaly detection, explainable AI (XAI) and deep learning. I focus on constructing production-grade ML architectures, robust ETL systems, and low-latency inference modules.
graph TD
classDef default fill:#0d1117,stroke:#30363d,stroke-width:1px,color:#c9d1d9;
classDef highlight fill:#161b22,stroke:#58a6ff,stroke-width:2px,color:#58a6ff;
Me[P Saanvi: Core Projects Portfolio]:::highlight
Me --> DL[AI/ML & Deep Learning]
Me --> Systems[Systems & Ledger]
Me --> Quant[Quantitative Finance]
DL --> P1["Explainable Smart Grid Fault Detection<br/>(VAE + DSPOT + XGBoost)"]
DL --> P2["Spatio-Temporal Respiration Classifier<br/>(CNN-Conformer + InfoNCE Loss)"]
DL --> P3["Memora Cognitive Assistive Platform<br/>(RAG + Biometric ArcFace/ECAPA)"]
DL --> P4["Reinforcement Learning Traffic Optimizer<br/>(PPO + Reward Shaping)"]
Systems --> P5["Clinical Trial Data Management<br/>(Private Permissioned PoA/DPoS Blockchain)"]
Systems --> P6["Fault-Tolerant ETL Pipeline<br/>(Pandas Vectorization + Power BI)"]
Quant --> P7["Option Pricing Suite<br/>(Black-Scholes-Merton + Monte Carlo)"]
- Explainable AI (XAI) – Restoring interpretability in deep black-box models.
- Quantitative Machine Learning – Appling statistical modeling and ML to financial markets and telemetry data.
- Reinforcement Learning and Deep Learning – Sequential decision-making, game theory, and adaptive control systems.
- Intelligent Edge Systems – Deploying low-latency ML and cryptographic verification to edge nodes/IoT devices.
I am keen to collaborate on AI research, open-source ML systems, and quantitative modeling projects. If you are building in the ML/AI, Quant, or Decentralized Systems spaces, let's connect!

