• Developing a tool to identify repurposable drugs for primary and comorbid diseases by integrating biomedical LLMs with PrimeKG.

• Extracting insights from PubMed using Gemini LLM and enhancing predictions with KG context (e.g., proteins, pathways, MoAs).

• Enhanced model outputs by incorporating structured KG context, leading to notable improvements in factual consistency and reduction of hallucinations over standard LLMs.

• Researched and developed patents for autonomous on-road and rail vehicle systems, focusing on sensor integration, real-time data processing, and AI-driven decision-making.

• Collaborated with cross-functional teams to innovate solutions for enhanced vehicle autonomy, including obstacle detection, path planning, and vehicle-to-vehicle communication, transitioning concepts to design.

• Increased company valuation by 20% through strategic portfolio development, enhancing visibility and attracting investor interest.

• Conducted research under Prof. Joy Arulraj at Georgia Tech, focusing on building scalable AI-powered apps over existing SQL and vector database systems.

• Utilized EvaDB to improve usability and scalability of complex AI algorithms with simple SQL queries.

• Collaborated with team to make AI more accessible to users with limited programming knowledge.

• Conducted extensive CPA analysis in HighRadius for Europe, UK, Ireland, and DACH regions to monitor and assess RCA of failed claims.

• Published a PowerBI report showcasing improvements in CPA analysis during the PGLS phase, leading to a successful implementation in UKI and DACH regions.

• Closed the feedback loop with customers, increasing CPA success rate from 85% to 92%.