Headline

AI Head- Apexon (A Goldman Sachs Company) | Built GenAI Platforms Across 30+ Enterprises | Driving Multi-Million $ Impact | Agentic AI | RAG | AI Strategy

About

Most companies are not struggling with AI. They are struggling with turning AI into business impact. I solve that. Over the last 13 years, I’ve built and scaled AI systems that don’t just sit in notebooks — they drive real outcomes: • 40+ production-grade GenAI & Agentic AI solutions across BFSI, Retail, Pharma, Healthcare • Built AI platforms used across 30+ enterprise clients • Delivered $1M+ revenue uplift and 20–60% efficiency gains across multiple programs • Built and led a 50+ member AI/ML organization from scratch Today, I focus on a simple question: 👉 “How do we move from AI experiments → AI systems that run businesses?” That has led me to build: 🔹 Enterprise GenAI platforms (RAG, LLM orchestration, vector DBs) 🔹 Agentic AI systems that automate complex workflows 🔹 AI-driven decisioning systems for revenue, risk, and operations What makes my approach different: Most teams build models. I build AI systems that integrate with business workflows. Most teams optimize accuracy. I optimize outcomes (revenue, cost, speed). Currently leading AI Team as India Head at Apexon (Goldman Sachs company), working across global enterprises and solving real-world problems using GenAI. If you’re building serious AI systems or looking to scale AI beyond pilots — let’s connect. I’m always open to: • Strategic AI discussions • Leadership roles in AI/GenAI • Collaborations in Agentic AI Let’s move AI from hype → impact.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

deepseek

opencode

Work experience

Director AI at Apexon, Oct 2025 - Present · 10 mo, Bengaluru, Leading AI practice with end-to-end ownership of AI strategy, platform development, and enterprise delivery. Key Highlights: • Built and scaled a 50+ member AI organization across Data Science, Engineering, and Architecture • Delivered 50+ production-grade GenAI & Agentic AI solutions across 30+ enterprise clients • Built 15+ enterprise AI- powered solutions for a US bank enabling fraud detection, risk scoring, churn prediction and revenue growth strategies • Architected enterprise GenAI platform (Genysys) enabling rapid deployment of AI use cases (RAG, LLM orchestration) • Built AgentRise – Agentic AI platform enabling multi-agent autonomous workflows . Business Impact: • $1M+ revenue uplift through AI-driven analytics platforms • 20–60% operational efficiency improvements across programs • Reduced manual effort by up to 60% using AI automation systems Key Solutions Delivered: • Regulatory AI chatbot for Global Investment Bank (50% faster research) • OCR + LLM automation platform (60% effort reduction) • AI audit system for a UK Based Automobile Manufacturer (1 week → seconds processing time) • Contact center AI (20% efficiency gain) Driving AI adoption from experimentation → enterprise-scale systems.

Technical Architect - DAAI (Principal Data Scientist) at Apexon, Apr 2022 - Oct 2025 · 3 yrs 7 mos, Bengaluru, I lead the AI and GenAI / Agentic AI practice, driving the development of cutting-edge AI agent accelerators. My role is to closely collaborate with clients, Cloud Partners, ecosystem partners, and cross-functional solution engineering and delivery teams to architect, implement, and scale next-generation data and AI solutions tailored to the dynamic needs of enterprises. My experience spans a range of agentic AI technologies including LlamaIndex, LangFlow, LangSmith, CrewAI , Microsoft AutoGen, and Google’s Agent Development Kit. I have a proven track record of helping organizations build, deploy, and optimize AI agents on these platforms, enabling tangible value and operational transformation.

Manager Data science and Analytics at Tredence Inc., May 2021 - Apr 2022 · 1 yr, Remote, • Working Primarily as a Analytics Functional Led to understand the difference data sources across multiple channels like Traditional trade, Modern Trade and Ecommerce for a largest American personal care Corporation for various phases of RGM data lake implementation as a Functional Led across 13 countries and 3 regions.

Principal Consultant/Manager - Advanced Analytics Labs at Wipro Limited, Nov 2019 - May 2021 · 1 yr 7 mos, ● Led multiple Customer and Marketing Analytics engagements for global brands in developing innovative analytics solutions which has improved customer experience, optimized marketing spend and increased topline of the business meeting the business objectives, liaising with senior Leadership, brand managers, regional Leads. ● Claim Fraud Analytics and Fraud Scoring : A probabilistic ML based solution framework is designed and deployed for Health Insurance Major to develop and optimize their existing Fraud detection and scoring solution. The solution developed was able to capture fraud claims with 85 percent accuracy compared to existing client solution in predicting Fraudulent transaction.

Data Scientist - Advanced Analytics at IBM, May 2017 - Oct 2019 · 2 yrs 6 mos, India, Cognitive Computing ( Advanced Analytics service Line IBM GBS India) Currently working as a Data Science Consultant to build state of the art Artificial Intelligence Products/applications and conduct POC’s on unstructured as well as structured data using various Machine Learning,Predictive Modelling and Deep learning techniques to solve customer’s business problems.Presently using latest disruptive NLP techniques like Text classification,Text Summarisation,Named Entity Recognition,Topic Modelling,Word Embeddings etc using open source tools like Python,R etc and IBM Watson Technologies like Watson Knowledge studio,Natural Language Understanding,Tone Analyzer for Global Clients to solve complex business problems using disruptive AI/Advanced Analytics methodologies.

Credit Risk Analyst -Credit Risk Consulting at HSBC, May 2016 - May 2017 · 1 yr 1 mo, Bangalore Urban, Strategy Analysis and Portfolio Monitoring For Middle East and North Africa Geography for Retail Banking

Education

Master of Business Administration, Information Technology and Marketing, FUTURE BUSINESS SCHOOL - Company

Bachelors in Computer Applications, Mathematics ,Statistics and Computer Science, Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT