LLM integration
Structured model outputs, provider routing, validation, prompt versioning, and cost-aware execution.
AI integration that behaves like production software.
I add AI capabilities where they create measurable value, then engineer the validation, fallbacks, review paths, and data boundaries required to operate them safely.
What I deliver
Focused engineering, end to end.
Knowledge workflows
Retrieval, document processing, classification, extraction, and human-reviewed recommendations.
AI automation
Background pipelines with checkpoints, retries, monitoring, and explicit handling of uncertain results.
Good fit for
Projects where reliability matters.
- Teams adding AI to an existing product
- Businesses processing repetitive knowledge work
- Products requiring controlled multi-provider AI
QA Engine
Backend system for automated technical MCQ generation and validation, cutting generation time by 90%.
LAHIT Animal Welfare Platform
Full-stack animal-welfare platform for rescue coordination, adoption, volunteering, and community support across Uttarakhand, with an admin portal for managing animals, rescues, content, and volunteer workflows.
View project ↗Stock Price Forecasting Prototype
Forecasts next-day open and close prices from historical OHLCV data, with feature scaling and MAE/RMSE evaluation.
View project ↗