Building What Scales, Leading What Delivers
7+ years of transforming complex AI challenges into production-ready solutions across supply chain, finance, cybersecurity, and health-tech. Currently leading AI R&D at FourKites, building next-generation supply chain intelligence systems. Previously led AI research at Infosec K2K and designed enterprise GenAI platforms at State Street.
I specialize in agentic workflows, voice-enabled AI, document intelligence, and sales automation, bridging cutting-edge research with real-world execution that drives measurable impact.
- π€ Agentic Workflow Platform for supply chain automation and orchestration
- π€ Voice-Enabled Agents for hands-free supply chain operations
- π Agentic Document Extraction Platform for supply chain contracts using advanced NLP
- πΌ Sales Prospects Engine to optimize internal prospecting and deal conversions
- π¬ Researching cutting-edge AI techniques for supply chain visibility and multimodal logistics systems
- ποΈ Established and led K2K Labs, internal research and innovation division
- π Architected IAM Security Posture Management tool aggregating AD, Entra ID, and CyberArk
- π§ Developed MIRA, AI-powered mental health platform for CISOs and SOC teams
- βοΈ Built blockchain-based decentralized identity solutions
- π‘οΈ Created frameworks to secure AI pipelines from adversarial threats
- π£οΈ Built Text-to-SQL Copilot translating natural language to Snowflake queries
- π Developed Document Extraction Platform for financial documents using open-source LLMs
- π Created NAV Narratives App for portfolio insights and anomaly tracking
- π§ͺ Deployed AI Playground (Local LLM Store) for internal use cases
- π Published T2I-RISE research at IEEE 2025
π€ Agentic AI π¦ Supply Chain AI π€ Voice AI π Cybersecurity π° FinTech π§ Mental Health AI π Document Intelligence πΌ Sales AI π Blockchain
AI/ML: PyTorch β’ HuggingFace β’ LangChain β’ LangGraph β’ MLflow β’ Scikit-learn
LLM Ops: RAG β’ Fine-tuning β’ Prompt Engineering β’ Agent Frameworks
Infrastructure: Docker β’ Kubernetes β’ FastAPI β’ CI/CD β’ Vector DBs
Cloud: AWS β’ Azure β’ GCP
Tools: Streamlit β’ GraphQL β’ Kafka β’ Databricks β’ Snowflake
Contextual Detection and Resilience Management of Burnout Risk
Combines workload telemetry with check-ins to detect burnout in operational teams
- TORUS: Generative AI meta-platform that builds entire apps from natural language
- DODO: Multifunctional chatbot for HR, finance, summarization, and support tasks
- Standing Ovation Awards for both innovations
- Presented at EMNLP Abu Dhabi, IEEE BigData Sorrento, and LREC FNP
- Best Employee of the Quarter at Fortuna HLTH
- Award from MD, State Street, for delivery excellence
2023-2024
- π Generative AI for Distributed Summarisation (IEEE BigData 2023)
- π° Financial Causality with Multilingual LLMs (FNP Workshop 2023, presented at IEEE BigData 2024)
2022
- π·οΈ DoSA: AI-Powered Data Annotation System (EMNLP 2022, Abu Dhabi)
- π DIMSUM: Multilingual Financial Summarisation (LREC 2022)
2020
- π£οΈ Ghost-VLAD for Indian Language Speech Detection (ICASSP 2020)
I mentor aspiring AI engineers on real-world AI systems, debugging, research-to-product workflows, and strategic delivery. I enjoy speaking at workshops and sharing practical, no-hype AI insights that bridge academia and industry.
Interested in non-profit AI initiatives focused on:
- π§ Mental health and well-being
- π Public safety and cybersecurity
- π Digital education and accessibility
If it's meaningful and applied, I'm in.


