Oct 2018 – Sep 2021 · 2 yrs 11 mos · Bengaluru Area, India

• Led AI/ML initiatives to address high-impact problems in the Fintech domain, with a focus on explainability, inference, and collaboration with business stakeholders. Combined deep learning with Bayesian inference and probabilistic programming to integrate domain knowledge and build trust in model outcomes.
• Worked closely with senior business and technology leaders to align data science solutions with strategic objectives.
• Key Areas:
• Explainable AI for decision-critical financial applications
• Probabilistic modeling to incorporate prior knowledge
• Deep learning–based estimation and forecasting
• Cross-functional collaboration with client leadership

Sep 2016 – Jul 2018 · 1 yr 10 mos · Bengaluru Area, India · On-site

• Worked as an ML Engineer building systems to help machines understand fashion—enabling smarter business decisions through AI.
• As part of the machine learning team, I contributed to the development of computer vision and product ranking models that powered fashion product discovery. I also helped build and maintain the data pipeline that integrated these models into a SaaS platform, giving me exposure to full-stack development and end-to-end ML delivery.
• Key Contributions:
• Product Ranking: Developed neural network–based models to rank fashion products using signals derived from catalog and web data.
• Visual Concept Extraction: Applied deep learning techniques to extract visual features such as color, silhouette, and attributes from product images.
• Data & Deployment Pipelines: Supported the creation of scalable inference pipelines to deliver model outputs as insights within the product.

Jul 2016 – Oct 2017 · 1 yr 3 mos · Mumbai Metropolitan Region

• I taught the following courses
• 1. Inferential Statistics using R
• 2. Traditional ML using R / Python
• 3. Advanced ML (Neural Networks - Vision and Text Processing) using TensorFlow

Aug 2015 – Jun 2016 · 10 mos · Bengaluru, Karnataka, India

• Worked as a data scientist in a early stage networking startup building intrusion detection systems. My role was to spearhead data science function. We created models using data collected in the form of IP flows in an enterprise network. These models formed the basis of anomaly detection and combined with other indicators of compromise make up an effective intrusion detection system. Model is self correcting and hence minimises false alarms. This approach enabled detection of anomalies beyond rule based threat detection.

Mar 2015 – Sep 2018 · 3 yrs 6 mos · Greater Bengaluru Area

• Worked with early-stage startups to embed data science into the core of their product and operational strategies—treating machine learning not just as a tool, but as a problem-solving paradigm that challenges the status quo.
• Key Contributions:
• Advisor & Lead Data Scientist: Partnered with product and leadership teams across multiple startups to shape AI-driven product evolution, ensuring data insights were central to decision-making and customer value creation.
• Competency Builder: Conducted hands-on training and mentorship for professionals at various stages of their data science journey—emphasizing problem formulation, mathematical intuition, and conceptual clarity over tool-centric learning.

Nov 2013 – Feb 2015 · 1 yr 3 mos

• Developed pricing model for a SaaS based Cloud video transcoding offering
• Involved in product strategy definition across multiple product lines for Automotive, Multimedia components and SaaS based online video transcoding platforms offering
• Defined and delivered effective product positioning – including clear messaging on product value, differentiation, and key technical attributes
• Led new product marketing launch plan, ensuring all internal and external resources are in place (collateral, Website, PR, sales tools, customer notifications etc.)
• Responsible for Technical Sales activities for product lines that includes activities such as Requirements Analysis, Proposal Writing, Preparation of Marketing Collaterals, etc.

Mar 2012 – Oct 2013 · 1 yr 7 mos

• As the head of the technical marketing function for the automotive business unit my responsibilities include
• Interact with customers and come up with specification requirements and proposals
• Work with the new product development team to identify new market and product opportunities; follow up with the direct sales leads and ensuring a design win
• Generate competitor intelligence and coming up with actionable items for the business unit.
• Most importantly, being a part of the core leadership team of my business unit, getting invaluable insights and an opportunity to participate in the process of building a business unit from scratch.

Jan 2011 – Mar 2012 · 1 yr 2 mos

• Managed a team of 6; responsible for design methodology flows for the Xeon Servers and Ivybridge Client based processors designed out of Intel India.

Jun 2006 – Dec 2010 · 4 yrs 6 mos

• Design methodology consultant for key processors designed out of Bangalore
• Developed an analytical tool, Unified Design Analyzer, to do a comprehensive deep dive of multi-million gate circuits designed using various optimization parameters
• Technical achievements in the form of paper presentations at various conferences
• o “Design Analysis : The next leap in convergence”, DAC User Track, 2011
• o “Power Optimization techniques for datapath designs”, SNUG India, 2011
• o “ECO Methodology for high frequency microprocessor”, DAC User Track, 2010

May 2004 – May 2006 · 2 yrs

• First exposure to the world of statistics and its crucial role in processor product launch. Took on the challenge of owning up complete Q&R checks on the server processors being designed in Intel India. The focus was to use key design parameters and build statistical models to predict the failure rate of the processors.