Headline

The Saint | The Strategist | The Scientist

About

AI/ML Strategy | AI Governance | Enterprise AGI | Enterprise Agentic Runtime | AI Conscience | Quantum AI Fusion (QAF) Chief Decision Scientist at QAF Lab India, leading enterprise AI transformation, Responsible AI, AI governance, and executive certification programs for C-suite leaders. AI and analytics leader with 25+ years of experience delivering enterprise AI, analytics, automation, and cloud-native ML platforms across banking, financial services, and corporate intelligence. Architect of enterprise AI frameworks including TAGOF, Enterprise Agentic Runtime (EAR), AI Agents Workflow Design Framework (AAWDF), and LENS, with expertise in Responsible AI, Agentic AI, and AI governance. Former Lead Consultant at ANZ, driving cloud-native AI, Vertex AI, Agentic RAG, AI fairness, model governance, and enterprise-scale credit risk modernization initiatives. Former Head of S/w, D&B India, Author of Corporate SWOT Bot. Former VP of BNY, Author of Aidda, Alexa for Auditors. Experienced AI educator and mentor, having designed enterprise AI curricula, mentored 100+ professionals, and led academic quality, certification, and placement initiatives at QAF Lab India and the Deep Learning Institute of Indi

Location

Bangalore Urban

AI stack

aistudio

anthropic apis

antigravity

claude

codex

cursor

Work experience

Chief Decision Scientist at TAGOF, Nov 2025 - Present · 10 mo, Bengaluru, Karnataka, India, Lead an enterprise-focused AI transformation and governance lab, defining end-to-end programs spanning AI strategy, data systems, model risk, ethics, and deployment at scale. Evaluate and certify the AI projects, processes, and products, help corporate to mitigate the governance, risk and controls development across AI, data science, algorithmic fairness, and emerging technologies, integrating systems thinking, governance, and socio-technical risk analysis. Mentored and coached candidates on enterprise problem-solving, stakeholder communication, and interview readiness; supported placement alignment with industry roles. Led partnerships and institutional collaborations, positioning programs for enterprise relevance rather than tool-centric training. Oversee quality assurance, program governance, and continuous curriculum updates based on industry trends, regulatory changes, and employer feedback. Established project delivery standards, autonomous assessment frameworks, agentic mentoring and certification criteria; conducted vivas, technical reviews, and competency evaluations to ensure job-ready outcomes. Develop and mentor the mentees across cross industry on the design, build, deploy and govern the Agentic Systems effortlessly using our TAGOF , AADWF, and ASDGF frameworks. Spearhead the AIML - Result as a service ( RAAS) applications.

Lead Consultant (Vertex AI) at ANZ, Aug 2022 - Oct 2025 · 3 yrs 3 mos, Bangalore Urban, Led enterprise-wide modernisation of credit risk modelling, migrating SAS/R scorecards to Python-based ML pipelines, reducing model development and validation cycles by ~40%. Architected and delivered PRISM (pilot), a Python-native credit risk modelling platform (binning, clustering, scorecards, model selection), now adopted by 25+ risk modellers across retail portfolios. Drove cloud adoption on GCP, Vertex - AI, ADK, enabling secure Agentic RAG Pipelines, such as VectorRAG, GraphRAG, scalable ML development and first-of-kind production deployments. Authored and operationalized AI fairness and governance frameworks, embedding bias detection, mitigation, and explainability into model workflows. Achieved ~22% reduction in bias metrics across protected attributes, strengthening regulatory acceptance and audit readiness. Built sustainable capability through structured upskilling in Python, cloud ML, and responsible AI practices. Executive impact: Delivered regulatory-ready, cloud-native risk analytics with measurable improvements in speed, transparency, and compliance.

Senior Academic Advisor at Deep Learning Institute of India, Oct 2021 - Jul 2022 · 10 mos, Chennai, Oversee the Knowledge Aggregation Platform, Member-Mentor Network. Advised on industry-aligned Master’s-level AI and data science curricula, covering ML systems design, deployment, and governance. Governed academic quality, evaluations, and certification standards, supporting ~80–90% placement outcomes. Mentored 100+ professionals on career transition, interview readiness, and applied AI skills. Supported post-acquisition transition and expansion into Quantum Machine Learning programs.

Head of Software Engg (AIML) at Dun & Bradstreet, Apr 2020 - Sep 2021 · 1 yr 6 mos, Led enterprise AI transformation initiatives, aligning data science execution with senior business stakeholders. Delivered India Corporate Directory (iAccess), a market-facing SaaS analytics product generating $72K revenue in its first month. Designed and implemented ML-based entity resolution engines, improving match accuracy by ~80% for complex Indian corporate data. Built NLP-driven corporate intelligence systems (BERT-based classification) to automate SWOT and financial insight generation. Authored AI technology and information security playbooks, embedding governance into product delivery. Managed a 40-member cross-functional team across data science, ML engineering, cloud, UI/UX, QA, and program management.

Vice President - Audit Analytics at BNY, Dec 2017 - May 2019 · 1 yr 6 mos, Led end-to-end delivery of AIDDA, a conversational AI platform enabling auditors to query data using natural language; reduced turnaround time by ~60%. Delivered analytics solutions across audit, compliance, customer risk, and due diligence, accelerating insight generation. Developed reinforcement learning–based trading prototypes, achieving ~80% uplift in back-tested performance. Implemented NLP-based control-mapping systems, reducing manual compliance review effort by ~50%. Championed enterprise adoption of AI and advanced analytics across global audit teams.

Education

PGP in AIML, Artificial Intelligence, Great Lakes Institute of Management

Bigdata Analytics, Great learning

Profile highlights

The best product I’ve worked on…: Lens agent — Capabilities, Cognition, Control, Collaboration, Coordination, Governance, Memory, Context

what i've built with AI: A Contemporary Enterprise Design for AI Agent Workflow

I'm the person in every team who…: A Goto point of contact

What's hard for others but easy for me…: Command over the machines that confess truth.

My hot take about working with AI is…: Mastering AI fluency

My biggest achievement in college was…: Center of Excellence in Quantum Computing

My proudest non-work achievement: Set up an agentic mentor - member aggregation platform

The last shipped feature I'm proudest of…: Enterprise Agentic Runtime. https://github.com/qaflabindia/EAR

The role I'd take a 20% pay cut for: Token leakage

Public links

github: https://github.com/qaflabindia

youtube.com: https://youtube.com/@qaflabindia

qli.org.in: https://qli.org.in/panel/