Amit Panalkar ^{Ultimate Decision-Maker}

Global Head of AI and Data Science, Portfolio Analytics Group | Senior Director/SVP (Managing VPs) at BlackRock

Current Job Duration: (until March 2026)

HEADLINE:
Enterprise AI/ML & Data Executive | Scale, Monetization, Data Strategy, Governance | Agentic & Gen AI Dev | C-suite KPIs | Global Head of AI @BlackRock’s Portfolio Analytics Group | $100M value BU/HF/PE | Reuters Speaker

PERSONAL SUMMARY:
amit.panalkar@gmail.com | U.S. Citizen

1️⃣ OVERVIEW:

🔹 Enterprise AI executive and hands-on AI developer and leader, player-coach, critical thinker, creative problem-solver, and intrapreneur.
🔹 Presented regularly to C-suite executives and Presidents.
🔹 Work cited in the Economic Report of the President, Speaker (Reuters), patent (pending).
🔹 Defined enterprise AI vision and roadmap.
🔹 17+ years leading GenAI/AgenticAI/ML/DS teams.
🔹 Built production-level AI solutions from scratch at top-tier firms—BlackRock, HSBC Bank, Nielsen (Measurement/Optimization), Assurant (Insurance: Health/P&C/Connecting Devices & Appliances).

2️⃣ USE CASES: As an Operating Partner, built solutions generating over $100M in impact.

🔹 Drove 8-10% EBITDA growth, $2-4M annual cost savings, 15-20% inventory turnover improvement, and optimized supply chains efficiency. Enabled $200M+ deal pipeline with projected IRR of 20-25% and ROI of 2.5-3x. Enhanced pricing (+10% revenue), automated reporting (5000+ hours saved annually), and improved post-acquisition value creation ($4-6M cost reduction, 12-15% productivity boost). Reduced churn by 10-12% with predictive models, boosting customer retention and lifetime value.

🔹 Developed a Generative AI and Agentic AI Pipelines for document intelligence and analytics using open and closed source models along with RAG, Knowledge Graphs, and Vector Databases to automate Q&A, text extraction, summarization, classification, and other use cases.

3️⃣ TECHNICAL PROFICIENCY:

🔹 AI/GenAI/Agentic AI/ML Ecosystem: Supervised & Unsupervised Learning, Deep Learning, Reinforcement Learning, Time Series Forecasting, NLP, LLMs, Prompt Engineering, Fine-Tuning, Agentic AI, CoT, Explainable AI, Foundation Models, Video AI, Model Optimization, GPU Performance Tuning.

🔹 Languages & Libraries: Python, SQL, CUDA, TensorRT, Scikit-learn, XGBoost, NumPy, Pandas, PyTorch, Transformers, Matplotlib.

🔹 Frameworks/Tools: LangChain, LangSmith, LangGraph, LangChain Agents, CrewAI, RAG, GraphRAG, NVIDIA AI Enterprise Suite, DGX Systems, blockchain, tokenization, JIRA, Product Design & Prototyping.

🔹 Data & Platforms: GPU Computing Stack, Cloud (AWS, GCP, Azure, Databricks), Big Data (Hadoop, Spark, PySpark), Data Warehouse (Snowflake, BigQuery, Microsoft Fabric), Vector DBs (Pinecone, Mosaic), Knowledge Graphs (Neo4j, TigerGraph), BI Tools (Tableau, Power BI), UI (Streamlit), MLOps(Azure ML), Aladdin (by BlackRock).

4️⃣ PRODUCT & PROJECT MANAGEMENT: Skilled in managing complex projects from ideation to deployment and iteration.

Languages:

EDUCATION:
School: 🔹U. Chicago Booth- Chief AI Officer Exec Program🔹Kellogg/Northwestern (MBA)🔹UNC (MS-OR)🔹IIT Madras (BTech) 🔹Indian National Mathematics Olympiad
Degree: None
Activities: None

School: Northwestern University - Kellogg School of Management
Degree: MBA, Finance, Management and Strategy
Activities: None

School: The University of North Carolina at Chapel Hill
Degree: MS, Operations Research
Activities: None

School: Indian Institute of Technology, Madras
Degree: Bachelor of Technology - BTech, Chemical Engineering (Major) and Operations Research (Minor)
Activities: None

Number of Followers:
3517