Experience Detail2026 - Present
Quantitative Finance Intern
PanScience InnovationsVisit company
Working on a GenAI-powered Legal Case Law Retrieval (LCLR) system for a power/utilities sector client, aggregating regulatory orders, judgements, and petitions for automated retrieval and summarization.
Timeline
2026 - Present
Aug 2026 - Present
Location
Delhi, India
Worked across product, engineering, and delivery needs.
Focus
4 key outcomes
9 technologies used in this role.
Role Summary
- Working on a GenAI-powered Legal Case Law Retrieval (LCLR) system for a power/utilities sector client, aggregating regulatory orders, judgements, and petitions for automated retrieval and summarization.
- Contributing to PSI-Quant, an AI-native quant research and trading platform (Next.js trader terminal, Python quant libraries, Go/Rust services) with backtesting, risk, and an LLM-driven trading agent.
Key Achievements
- Engineered GenAI-powered Legal Case Law Retrieval (LCLR) system for automated retrieval and summarization of regulatory orders, judgements, and petitions.
- Contributed to PSI-Quant platform spanning Next.js trader terminal, Python quant libraries, and Go/Rust services.
- Implemented backtesting algorithms, risk modeling, and an LLM-driven autonomous trading agent.
- Designed retrieval and aggregation workflows tailored to power and utilities sector client compliance requirements.