Jul 2023 – Oct 2025 · 2 yrs 3 mos

• Led strategic initiatives for Goldcast's new investment area, with significant focus on Content Lab, an AI-powered video marketing platform
• Drove the events platform growth from initial concept to scale, successfully navigating both the critical 0-to-1 phase and subsequent 1-to-10 expansion
• Pivoted to lead Content Lab through its foundational development stage, applying previous growth experience to this innovative product
• Established three specialized PODs within Content Lab focused on advanced editing capabilities, enterprise workflow solutions, and AI feature development
• Launched multiple AI-powered features including intelligent clip editing, semantic search, automated brand tone adjustment, transcript correction, content chapterization, highlight reel generation, and automatic Q&A clip detection
• Achieved 25% increase in win rates through Content Lab implementation and adoption
• Built team capabilities in cutting-edge AI technologies including LLMs, LangChain, text embedding, and automated facial detection to maintain competitive advantage in the rapidly evolving AI landscape

May 2021 – Jul 2023 · 2 yrs 2 mos

• Established and led India operations as Site Lead, setting up the regional base and recruiting key talent across functions
• Successfully managed a global engineering team distributed across 4 countries before strategically consolidating operations in India
• Transformed an initially junior team into a robust organization of senior engineers and engineering managers
• Architected the engineering organization to include dedicated QA, Data, and SRE functions while recruiting strategic leaders for backend and frontend domains
• Led a diverse team that grew from 10 to 45 professionals spanning Events, Administration, Data, SRE, QA, and Automation
• Played an instrumental role in recruiting key leadership positions across Product and Design verticals
• Contributed to 8x revenue growth during tenure, helping secure Series A funding round

Mar 2021 – May 2021 · 2 mos

• Helped incubate the LMS Bangalore team, which grew to 25 engineers.
• Served as tech lead for ads auto review, worked on offline and online infra.
• Collaborated with other tech leads and PMs on the future roadmap and OKRs planning.
• Incubated LAN Bangalore team.
• Organized tech talks/team learning sessions.
• Part of the data modeling (DMRC) committee.

Sep 2018 – Mar 2021 · 2 yrs 6 mos

• Ads quality team
• Ensure the quality of Ads on LinkedIn.
• Flagging Spam/bad Ads.
• Modelled using Boosted Decision tree.
• Content models to avoid bad text/content in Ads being approved.

Feb 2017 – Sep 2018 · 1 yr 7 mos

• Search Relevance
• Fine tuning of the index
• Lambda architecture based indexing/update handling
• Search relevance optimisation using machines learning
• L1 and L2 ranking of the results
• Document expansion using skills tagging (basically adding more information on each document)
• Query expansion, adding information like machine learning to queries looking for artificial intelligence courses
• Machine learning pipeline which involved feature generation, modelling and evaluation.

Dec 2015 – Aug 2016 · 8 mos · Bangalore

• Developed android launcher for regional language users.

Nov 2014 – Oct 2015 · 11 mos · Bengaluru Area, India

• Redesigned entire Dailyhunt news backend. The system made use of open source technologies like elasticsearch, redis to serve 5 million daily unique users and 100 million+ daily pageviews. The SLA for API was less than 10 ms. The system was designed to easily handle 10x growth in traffic from the numbers mentioned above.

Feb 2014 – Mar 2014 · 1 mo · Bengaluru, Karnataka, India · On-site

• Developed multiple features for the seller platform

Jun 2013 – Oct 2014 · 1 yr 4 mos · Bengaluru Area, India

• Developed a data analytics system using Kafka, Storm, Elasticsearch. The system was able to handle 50K events per second and was able to do complex aggregation and filtering operations in real time. The solution was horizontally scalable.
• Worked with Clients such as Flipkart, Khosla Labs, Philips
• The company got acquired by Dailyhunt (Formerly known as Newshunt). You can read more about it here:
• http://yourstory.com/2015/03/newshunt-acquires-vauntz/

Apr 2012 – Jun 2013 · 1 yr 2 mos · Bangalore India

• As a part of back-end team, developed API as per the requirements
• Developed complete search system and related API's using SOLR
• Implemented auto-suggest, spell suggestions, related videos using SOLR
• Was involved in finding performance bottlenecks and optimizing the issue using redis cache and proper DB indexing
• Developed entire back-end for sports as category
• Developed entire back-end for site widgets feature which allowed internal users to schedule Ads, Polls, Featured links
• Developed back-end for dynamic themes feature. This allowed internal user to promote, demote a particular entity and decide the order of the set of entity on site. This feature powered the category pages and the homepage on the site.

Jun 2011 – Mar 2012 · 9 mos · Mumbai Area, India

• Involved in development, maintenance and testing of rediffmail.

May 2009 – Apr 2011 · 1 yr 11 mos · Hyderabad Area, India

• Video Scene Segmentation with Semantic Similarity:
• Developed an algorithm which provided robust scenes detection and separation in movies using a bipartite graph models. It helped us in constructing a shot similarity graph on which Normalized-Cut (N-cut) was applied. The paper was accepted in IICAI-11 as this technique showed considerable improvement in results.
• Guide – Dr. C. V. Jawahar
• Team Size: 2
• Technology Used: Matlab, OpenCV, ffmpeg.