Headline

Director- Engineering & Architecture || Bayesian mindset | Statistical Machine Learning | Statistics are my love language |TOGAF9 certified | Kaggle Bronze survivor| Author

About

Some people meditate for peace — I ask hard questions to machines and humans. As an AI/ML Architect, my day job is decoding complex systems — whether it’s neural networks, enterprise data flows, or the minds of brilliant technologists. Not literally, of course. I spend my time learning from experts: their architectures, trade-offs, and sometimes their production disasters. And I love sharing those lessons with others along the way. Early in my career, navigating AI, business, and life felt like tuning a model with missing labels — confusing, slow, and occasionally broken. But it gets better when you learn from the right people (and patterns). I specialize in: Statistical Machine Learning – logistic regression, hypothesis testing, time-series forecasting, Bayesian inference, clustering (K-Means, DBSCAN), PCA, feature selection, and model interpretability Cloud Transformation (AWS, Azure, hybrid) – building scalable, secure, and cost-optimized ML/AI architectures Applied ML & AI Engineering – real-time inference, anomaly detection, predictive modeling, drift detection, model monitoring Data Modernization – migrating legacy pipelines, enabling real-time analytics, and unifying enterprise data architectures Generative AI Solutions – architecting LLM-powered agents, document intelligence platforms, code converters, and enterprise knowledge bots Enterprise Architecture Leadership – aligning technical innovation with business strategy across complex organizations What sets me apart is my ability to blend statistical rigor with system-level thinking — whether it’s optimizing mission-critical systems, improving explainability in ML pipelines, or designing GenAI accelerators that actually scale. I thrive in high-stakes, multi-stakeholder environments and bring a builder’s mindset to solve real-world problems — with math, models, and a bit of madness. Publication and Papers:  White Papers submitted on Logistic Regression and Forecasting (IIM A)  Research Paper published SOCGEN Improving Cluster Analysis  Participate as a speaker in HSBC Global Data and Analytic Symposium  Reviewer of Google Data Analytics with Google Cloud Platform Book (BPB Publication)  Statistical concepts for Machine Learning Book (Launching soon)  Corporate Trainer on Statistical data modelling and Machine Learning

Location

Pune District

AI stack

antigravity

codex

Work experience

Director - Engineering & Architecture at EY, Feb 2025 - Present · 1 yr 7 mos, - Lead and transform AI, Generative AI, LLM, OCR, Digitization,Analytics and Data sciences practice - Build offerings, platforms, solutions, and capabilities - to create differentiating position for Company in the market - Primarily responsible for business growth and establishing Company as a thought leader in AI, Analytics and Data Sciences - Contribute as a leader to position Company in Digital transformation services business leveraging future-focused AI, Analytics/Data sciences capabilities - Build /transform the practice leadership team to be a front line customer-facing consulting and advisory engine - Establish and nurture strategic relationships with partners and tool vendors - Engage customers as a thought leader by building and leading an elite pool of architects/specialists/data scientists - Work with all other practices to drive Analytics led the transformation of offerings as well as the way we deliver our services - Manage Presales solutioning sales enablement responsibilities for practice - Build and nurture a talented pool of specialists in practice as a people manager - Establish connects with industry stakeholders and manage analyst relationships

Vice President - Digitization(Applied Machine Learning) at Northern Trust, Dec 2023 - Feb 2025 · 1 yr 3 mos, Bengaluru, Karnataka, India, Focus on understanding and translating operational/business needs to solution-level architecture and process improvement.Identify gaps in the processes and implement digital solutions to deliver expected business outcomes by leveraging AI/ML, Gen AI thereby enhancing organization’s capacity to achieve it's strategic goals.

Architect -Advance Data Analytics at EY, Dec 2021 - Dec 2023 · 2 yrs 1 mo, Pune, Maharashtra, India

Solution Architect- Lending, Payment at HSBC, Jan 2019 - Dec 2021 · 3 yrs, Pune, Maharashtra, India, HSBC Kinetic - A whole new world of business banking, in a smart app https://www.hsbckinetic.co.uk  Leading Banking Product IT Team for HSBC Kinetic. Product itself running Live in Apple Store and coming soon for Android in UK market.  Comprehend Problem Statements and needs.  Articulate Customer pain points with Architects and Design teams to arrive at feasible solutions.  Brainstorm Ideas and devise Product Roadmap based on module components  Analyze and track Metrics – HEART & AARRR, Acquisition, Retention, Activation, Adoption, Happiness, Engagement, Conversion rate, Churn, Bounce rate to measure success and KPIs.  Involved in Customer Segmentation and drafting Value Proposition for each Segment.  Sketch low fidelity wireframes, flowchart for the UX Designers to offer intuitive and Self-explanatory mock up pages.  Ideate with Legal, Compliance and Content analysis team to extract consistent headers, messages, and Help texts.  Deliver live demo to engage Stakeholders from the early stage of development.  Built a modern SME commercial digital bank in HSBC – Kinetic (https://hsbckinetic.co.uk). First of its kind digital bank built on top of one major cloud provider and utilizing Kubernetes.  Responsible for Data and Digital delivery with fully supported DevOps pipeline in place.  Developing strategies for effective end to end Analytic solution  Leading and developing a team of data analytics and Analytic COE  Explain/present/justify results to stakeholders, and maintain analytic model  Review Data Collects, cleans, transforms and validate process for arriving at conclusions  Presents data in the form of charts, graphs and tables for immediate reference  Performs audit on all data for the purpose of business development resolution  Applied Analytics on Lending, Overdraft, Credit card Journey, Non-profit Donor History, demographics, psycho graphics, campaign data, donation Non Profit Donor Analytics

Technical Architect at Cigniti Technologies, Aug 2014 - Jan 2019 · 4 yrs 6 mos, New York City Metropolitan Area, 1) Develop, process, cleanse and enhance data collection procedures from multiple data sources 2) Conduct & deliver experiments and proof of concepts to validate business ideas and potential value. 3) Test, troubleshoot and enhance the developed models in a distributed environments . 5) Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.

Education

Business Analytic Program, Business Analytics, Indian Institute of Management Ahmedabad

Certified Data science Proffesional, Data Science, AnalyticPath