Apr 2024 – Sep 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Founding Team | Head of Technology | Architect | Engineer
• Engineer #1, led the architecture and development of EX2 AI, an AI-powered Martech platform, leading a team of three engineers. The platform helps marketers/brands/agencies define KPIs and generate ad campaign strategies, including locations, audiences, channels, timing and a clear reasoning around the selections.
• Designed and launched a Demand-Side Platform (DSP) with RTB, reporting dashboards, and insights—securing Alphabyte’s first clients and generating revenue within two months.
• Spearheaded the 2nd phase of EX2 AI with an AI-powered creative generation (banners) and editing tool, streamlining ad design workflows and reducing time to market.
• Built EX2 Places, a repository featuring 15,000+ brands and 10 M+ points of interest across SEA and ME regions, centralizing location intelligence for campaign planning.
• Developed the complete data platform and established a lean, cost-efficient infrastructure on AWS to support scalable and robust operations.

Dec 2023 – Apr 2024 · 4 mos · Bengaluru, Karnataka, India · On-site

Apr 2021 – Dec 2023 · 2 yrs 8 mos

• Spearheaded the development and scaling of Near’s Real-Time Bidding (RTB) capacity from 5,000 to 400,000 QPS on a lean cluster, maintaining sub-100ms latency at the 99.9th percentile, processing over 13 TB of daily data.
• Architected and developed two subsystems within the RTB ecosystem—ID Service & User Segment Service—handling ~4 billion user IDs at RTB scale.
• Acted as a core member of Near's Architecture Board (ARBO), driving strategic technical decisions and innovation.
• Managed bidder integrations with 15 leading ad exchanges (SSPs), enabling seamless operations for video, native ads, and more.
• Architected and owned PlaceMatrix, as part of Near Places, a groundbreaking geo-data repository powering Near’s advertising solutions, integrating data from global providers like MasterCard, HERE Maps, and Experian.(~100M POIs, ~45M PlaceMatrix Polygons, ~1.2M Administrative Regions, APIs handling ~60K QPS).
• Led the re-architecture of Engage, Near’s self-serve DSP, and contributed to Allspark, Near’s audience cloud platform, enabling precise audience targeting.
• Built and optimized the Carbon Data Platform, managing ID-level data across billions of records, with a Kyoto Tycoon cluster spanning 3 geographies.
• Created an Automated GIS Pipeline for ingesting and refreshing global geographic data, improving performance by 30–50x.
• Migrated Near’s infrastructure from bare-metal servers (IBM Softlayer) to AWS cloud, implementing CI/CD pipelines and ensuring high availability and bringing down costs by close to 40%.
• Developed low-latency microservices for geospatial processing (e.g., Geohash refinement) and real-time entity recognition, achieving sub-5ms response times.
• Led and mentored a team of 15+ engineers across GIS, RTB, and data platforms, improving collaboration and delivering high-impact projects on schedule.
• Technical Skills - Java (Springboot / Dropwizard), Python, Elasticsearch, MongoDB, Redis, Kafka, Spark, Amazon Redshift

Jul 2018 – Apr 2021 · 2 yrs 9 mos

• Core team member on re-architecture and launch of Engage, Near's self serve DSP.
• Played a major role in migrating all of Near's infra from Softlayer bare metal servers to AWS cloud.
• Engineered and implemented a real-time entity recognition solution in Golang, achieving response times of less than 5 milliseconds.
• Architected, owned, and maintained PlaceMatrix, a pioneering solution in the digital advertising space.
• Effectively managed an off-site vendor team focused on geo data content creation. Enriched brand coverage of Points of Interest (POI) content, optimizing advertising expenditures for customers.
• Handled integrations with various data partners, including Master Card, Experian, HERE Maps, to enhance Near’s niche location focus in advertising.
• Led a 2-member team on Near's Real Time Bidder system, ensuring its efficiency and seamless operation.
• Led a 5-member team (1 UI + 2 backend + 2 data) on CARBON, Near's ID-level Data Platform, overseeing its development and performance.
• Built the entire Data Processing Platform for CARBON
• Developed Near's Pixel Manager
• Technical Skills - Java (Springboot / Dropwizard), Python, Elasticsearch, MongoDB, Redis, Kyoto Tycoon, Clickhouse, Twemproxy, Kafka, Spark

Jul 2016 – Jun 2018 · 1 yr 11 mos

• Core team member on Allspark, Near’s Audience Cloud.
• Re-architected and re-built Near's RTB using Java Dropwizard framework.
• Architected and developed ID Manager, Near’s central repository for all device, cookie, and user IDs.
• Designed, built, and maintained the entire system, featuring a Kyoto Tycoon cluster spanning 3 geographies, managing close to 2.5 billion IDs and growing at a rate exceeding 4 million per day.
• Orchestrated a system that efficiently handled approximately 4 billion requests daily, peaking at a QPS (Queries Per Second) of 85,000, maintaining a mean latency of less than 5 milliseconds.
• Implemented Geohash for real-time location refinement and correction using Georaptor. The micro-service delivered responses in microseconds.
• Technical Skills - Java (Dropwizard), Python, Golang, Elasticsearch, MongoDB, Redis, Kyoto Tycoon, Pika, Twemproxy, Kafka, QGIS

Oct 2015 – Jun 2016 · 8 mos

• Spearheaded the development, management, and maintenance of Near Places, Near's Geo Data Repository, featuring a highly scalable and low-latency REST API system.
• Architected and constructed the entire cluster that powers Near Places, ensuring seamless operation and optimal performance.
• Conducted thorough evaluations of project requirements and provided technology recommendations to support the construction, maintenance, and performance of the system.
• Established a comprehensive database comprising more than 75 million places, meticulously building polygons and geographic region polygons sourced from multiple channels.
• Technical Skills - PHP, Java, Python, Lua, Elasticsearch, MongoDB, Redis, Twemproxy, Kafka

Oct 2014 – Sep 2015 · 11 mos

• Integral member of a 2-member team responsible for managing and maintaining Near's Real-Time Bidding (RTB) system.
• Successfully scaled the bidder from 5,000 Queries Per Second (QPS) to 25,000 QPS, enhancing the system's capacity and performance.
• Implemented crucial changes to the RTB system to facilitate the inclusion of Video and Native ads, expanding the platform's capabilities.
• Led the migration task of transferring Near's Unique ID data to a Redis-based store, optimizing data storage and retrieval processes.
• Technical Skills - PHP, Lua, Elasticsearch, Redis, Twemproxy, Kafka

Jul 2014 – Sep 2014 · 2 mos

• Loog - HAProxy Log Analyzer: Lua-based UDP server to read HAProxy logs in real-time, process, and provide analytics based on the same (table and graph). Handled about 50K QPS per instance on the Near Real Time Bidder. This used Redis as the data store.
• ReqLoc: PHP-based tool using Elasticsearch as the primary datastore to curate and fetch total as well as aggregated counts based on user IDs, Operating Systems, and Carriers.
• RTB Test Tool: Tool for a pre-deployment check of the Real Time Bidding System.
• Technical Skills - PHP, Lua, Elasticsearch

Aug 2012 – Jun 2014 · 1 yr 10 mos · Mar Athanasius College of Engineering, Kothamangalam, Kerala

• Organizing and voluteering all the Training and Placement related activities in the college. Interact and communicate with various HR managers from different firms that visit the college.

Jun 2012 – Jul 2012 · 1 mo · Bhilai, Chhattissgarh, India

• Learned the development, implementation and maintenance of the payroll management system being used in the firm.