Projects
Side projects, research prototypes, and passion builds — from LLM simulation engines to neuromorphic hardware models.
Pulp AI
A simulation platform that lets product teams test copy, features, and pricing against AI-generated customer personas — shipping decisions in minutes instead of weeks. Built on FastAPI, Postgres (pgvector), Redis, and Docker.
Sarah Chen, 34
Product Manager at a Series B SaaS startup
Key concerns
- Price sensitivity at renewal
- Feature overwhelm during onboarding
- Unclear ROI for enterprise tier
AI recommendation
Lead with a 3-step onboarding wizard and surface ROI metrics in the first week.
Sample output from the LLM persona engine
Pest Detection System
Trained EfficientNet, ResNet, and Inception models for pest identification on cotton and rice farms. Advanced data augmentation improved pipeline robustness by 14%, directly helping 10,000+ farmers take corrective action without compromising yield.
Model Accuracy Comparison
+14% improvement from advanced data augmentation pipeline
Scraped ~1.2M CPI price points from 300+ Indian markets and trained LSTM models that reduced 30-day-ahead MAE by 18% versus ARIMA, revealing inflation hot-spots across eight economic zones.
Academic & Research Projects
Thalamo-Cortico-Thalamic Relay on SpiNNaker
Modelled the TCT relay system on the SpiNNaker neuromorphic platform for low-cost, low-power cortical signalling. Built under Prof. Basabdatta Sen Bhattacharya at BITS Pilani.
Multi-Agent Reinforcement Learning for Cooperative Hunting
Built a predator–prey game with Cooperate/Kill actions and trained agents with Nash-Q learning. Demonstrated that learned policies converge to the game's Nash equilibrium, confirming stable cooperative dynamics.
View on GitHub →Neural Machine Translation — Verb Dependencies
Built a customised Seq2Seq variant to improve NMT translation accuracy by reducing the proximity in verb phrases between source and target languages. Research conducted at IIIT Hyderabad.
View on GitHub →