- Spending time with kids- Taking care of health- Learning more about Gen AI - LLMs based search and Agentic AI

- Led all engineering-related efforts at DotPe for all the 4 products (QR ordering, POS, Digital Showroom, and Marketing), including development, testing, devops, data; re-architected multiple systems to scale; worked towards creating a world-class engineering culture- Grew the engineering team from 10 to ~90 engineers across multiple engineering functions, mentored them, set goals for them, ensured that they understand why they do what they do to foster motivation and ownership, empowered them to measure the impact of all things we do, created a data-driven culture within the organization- Collaborated with founders and key business stakeholders to understand and define organizational goals, created product and tech roadmaps for short-term as well as long-term impact, prioritize, plan and execute them- Took multiple initiatives to improve the overall tech culture and landscape: - Created a collaborative environment where we openly discussed RCAs and learned from our mistakes, implemented tech talks to promote employee learning - Improved system performance by re-designing architectures, re-architecting services, improving database performance by separation and optimizations, implementing design patterns to mitigate SPOF, implementing event-driven architecture, improving deployments and resource consumption via kubernetes, implementing CDC for near-real time use-cases - Implemented multiple frameworks for logging, monitoring, alerting, code coverage, code smells, load testing, deployment automations, etc., and enforced these as must-haves for any production system - Reduced cloud costs by 50%+ and improved cloud security, scalability, reliability, and performance - Built best-in-class data platform with a small 2-member team

- Hired and built an entire team of 35 data scientists and data engineers from scratch in about 3-4 months.- Architected and built a click stream analytics tool that processes ~100 million events per hour in real time and ~1.5TB of data per day.- Identified, architected, and delivered more than 10 machine learning models in a span of 8-9 months. - - Delivered key projects in areas like dynamic pricing, chatbot, recommendation engine, churn prediction, look-alike, OCR, anomaly detection, etc.- Designed and built a big data warehouse to help solve organisational analytical needs.- Built a competitive analytical tool for retail sellers and brands to position themselves better.

- Responsible for entire catalog management system; improved product creation from ~60k to ~3L per day (500% increase) and product updation from ~65k to ~12L per day (1200% increase).- Implemented intelligent algorithms around similar product/image detection, product categorization, scoring to improve discoverability.- Responsible for better customer experience; improved avg page load time from ~10 secs to ~4 secs; reduced page size from ~5MB to ~2MB; improved filters across the platform to increase conversion by ~10%; architected and implemented search to improve product discoverability - observed overall conversion jump by ~20%.- Responsible for creating an BI/Analytics platform that will enable reporting for better and faster decision making, and also will serve as a data store to run Machine Learning algorithms.

- Responsible for the managing the entire back-office technology, including CRM ( Sales as well as Service), Communication, and Analytics- Fostered innovation by implementing newer technologies on all layers - Client, Server, and Database.- Created and spearheaded the Big Data Analytics and Machine Learning Division.- Expertise in breaking down business problems into smaller technical problems and eventually solving them.- Defined and implemented clearly re-usable technology components.

- Managed, mentored, and motivated more than 40 people across geographies.- Designed the architecture and decided on technologies to be used.- Implemented new processes and improved existing ones to yield better results.- Extreme emphasis is laid on understanding "Why we do what we do?".- Worked with the strategic team to generate new business ideas and led the effort.- Implemented project plans by setting clear goals and steering the team towards the goals.- Steered all stages of SDLC processes using Agile methodologies.- Understood the ad-selection and targeting methodologies of different ad-servers - DoubleClick for Publishers(DFP) by Google, and Open Ad Stream(OAS) by 24/7 Real Media.- Good knowledge of statistics to make better data-driven decisions. Created predictive linear and logistic regression models in R.

- Gathered, analyzed, and implemented client requirements.- Written business cases and justification documents.- Regularly interacted with clients' and proactively troubleshooted their issues.- Worked closely with onshore and offshore managers to ensure smooth delivery.- Learned the business impact by direct interaction with clients and subject matter experts.- Mentored new employees and encouraged them to understand the business implications rather than just the technical ones.- Added value by suggesting and implementing new features to the products.

- Worked on a healthcare product that aggregates various sources of data and transforms the data into usable information.- Co-ordinated with technical lead and clients to design and implement quality solution.