Headline

Engineering Manager @ SDS | Ex- Amazon | Ex - Paypal | BITS Pilani Alumnus.

About

With over 8.5 years of experience spanning fintech, e-commerce, healthcare, and SaaS, I have built and scaled AI-driven products, led high-performing teams, and delivered measurable business impact across both startups and global enterprises such as PayPal and Amazon. Currently, as an AI/ML Manager at Smart Data Solutions, I lead cross-functional teams of Data Scientists and ML Engineers to drive end-to-end AI product strategy and execution. Over the past 9 months, I have spearheaded the successful launch of 8+ AI products into production.My role extends beyond execution into defining product vision, aligning AI initiatives with business outcomes, and scaling solutions in collaboration with global stakeholders. Prior to this, I played a key role in architecting and delivering an omnichannel retail analytics platform at Softborne Pvt. Ltd. (in partnership with SoundCommerce). This platform enabled enterprises to seamlessly integrate multi-source data into a unified ecosystem, significantly reducing time-to-insight and democratizing advanced analytics for business users. At PayPal, as part of the Strategy & Collections team, I managed a portfolio exceeding $11B across 4 million customers. I led initiatives spanning customer lifecycle optimization, risk and fraud modeling, and operational strategy building ML-driven segmentation and recovery strategies that improved customer engagement, reachability, and overall portfolio performance. I was also involved in early-stage strategy development for Buy Now Pay Later offerings, including IVR-led customer engagement frameworks. What differentiates my experience is the ability to operate at the intersection of AI, product, and business strategy translating complex data challenges into scalable, revenue-generating solutions. I have consistently built and mentored teams, established data and ML pipelines, and driven adoption of AI across organizations to unlock tangible value.

Location

Greater Bengaluru Area

AI stack

aistudio

codex

deepseek

gemini

github copilot

opencode

Work experience

Engineering Manager, AI & Automation – SDS at Smart Data Solutions, Mar 2025 - Present · 1 yr 6 mos, Chennai, At Smart Data Solutions, I lead the AI and Automation charter, driving the vision, strategy, and execution of enterprise-scale AI platforms for healthcare, with a focus on intelligent medical record extraction using vision-based LLMs. I operate at the intersection of AI, product, and business, partnering with executive stakeholders across Product, Sales, and Infrastructure to translate complex data challenges into scalable, revenue-generating solutions. Key Leadership Impact: Owned and scaled the AI/ML roadmap, delivering 8+ production-grade AI products within 9 months, Built and led high-performing, cross-functional teams of Data Scientists and ML Engineers, while developing second-line leadership to scale the function sustainably Established enterprise AI capabilities from the ground up, enabling a multi-year delivery pipeline and positioning AI as a core growth driver for the organization Architected highly scalable, production-grade AI systems, consistently achieving >99.8% accuracy across critical workflows Partnered with go-to-market teams to drive pre-sales strategy and innovation, leading high-impact POCs and accelerating deal conversions Led large-scale modernization initiatives, transforming legacy OCR/OMR and traditional ML pipelines into AI-first, LLM-powered architectures Aligned AI investments with business outcomes, ensuring measurable impact across revenue growth, operational efficiency, and customer experience Acted as a strategic bridge between technology and business, influencing product direction, client strategy, and long-term AI adoption.

Sr. Lead Data Analytics Engineer at Softborne Technology Solutions Pte. Ltd., Nov 2023 - Sep 2024 · 11 mos, Chennai, Led end to end data pipeline implementations from data ingestion to reporting for 13+ companies including e-commerce giants, B2B and B2C retailers. Designed and implemented end-to-end data pipelines, cloud migrations, and system integrations. Built scalable data warehouses on GCP, AWS, and Azure for optimized performance.Developed advanced data models using dbt, Snowflake, BigQuery, and DataVault 2.0./Medallion Architecture. Integrated ERP, CRM, OMS, and POS systems for unified business insights. Built predictive ML models for Customer Lifetime Value (CLV), Customer Lifetime Sales (CLS), segmentation, Media Mix Modelling (MMM) and forecasting. Applied basket analysis, A/B testing, and segmentation to enhance sales, retention, and revenue optimization. Developed data-driven marketing and customer analytics using Google Analytics, Facebook Ads, and Led stakeholder engagement by acting as a bridge between technical and non-technical teams. Created interactive dashboards in Tableau, Power BI, and Looker and Sigma to transform raw data into actionable insights. Influenced C-suite decisions through data-driven strategies for marketing, risk, and operations. Mentored and led cross-functional teams, driving data-driven decision-making. Owned end-to-end ML & analytics solutions, contributing directly to business growth and customer retention. Ensured high data governance and quality for seamless reporting and decision-making.

Data analytics trainer and consultant at DataSpace Academy, Jul 2023 - Nov 2023 · 5 mos, Kolkata, West Bengal, India

Data Scientist - 1 at PayPal, Jul 2022 - Jun 2023 · 1 yr, Bengaluru, Karnataka, India, As a professional Data Scientist, my primary focus lies in Strategy Development, Management, and Monitoring of Debt Collection for BNPL Products - With a vast portfolio of 400M customers and managing $11 Billion in financial transactions, I play a pivotal role in optimizing debt collection efficiency and profitability. Enhancing the overall customer experience while mitigating operational risks is integral to my responsibilities. I achieve this through Customer Segmentation, enabling precise targeting and identifying high-risk customers efficiently. Leveraging Effective KPI monitoring, I create comprehensive reports that convey key business insights to stakeholders, facilitating informed decision-making. Automating low-priority customer interactions is another essential aspect of my work, streamlining processes and heightening overall efficiency. Reporting and Visualization of data play a pivotal role in extracting meaningful information, and I excel in this area, enabling better decision-making and fostering a data-driven culture. Setting up an automated, digital communications platform while ensuring compliance with State Laws in different countries is within my expertise. My capacity planning abilities optimize resources, ensuring maximum efficiency in all areas of debt collection for BNPL Products. In conclusion, my role as a professional Data Scientist involves leveraging data-driven strategies, insights, and automation to enhance business outcomes, elevate customer experiences, and foster overall operational efficiency within the realm of Debt Collection for BNPL Products. Through my dedication to these responsibilities, I contribute to the financial success and growth of the organization.

Data Scientist at ViTWO, Sep 2021 - Jul 2022 · 11 mos, Kolkata, West Bengal, India, Managed and Mentored a Team of Data Scientist and Engineers. Developed an end to end automated Invoice Recognition System using OCR and OMR technology using Python 3 and built an Image processing system with inbuilt Invoice Validation. Developed an automated Ledger Database system in Azure ML studio, which would feed the input invoices in an automated system and further parsing into Structured formats using NLP and NLU. Developed Reporting and Dashboards for Business insights with the help of front end systems. Proficiency in building large-scale personalization & recommendation algorithms and knowledge of information retrieval & ranking algorithms. Experience in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures Reinforcement learning, Graph Neural networks. Experience with Deep Learning packages including but not limited to TensorFlow and PyTorch Proficiency in Python programming. Have Good understanding of relational databases, SQL, and No-SQL databases. Experience with unstructured data like images & text. Hold strong interpersonal skills with the ability to simplify difficult technical topics to everyone from data scientists to engineers to business partners.

Data Scientist at ViTWO, Sep 2021 - Jul 2022 · 11 mos, Greater Kolkata Area

Education

Master of Technology - MTech, Data Science & Engineering, Birla Institute of Technology and Science, Pilani

Bachelor of Technology - BTech, Chemical Engineering, Calcutta Institute Of Technology