Observe.AI

Leading efforts in Data and Platform Engineering.

Director of Engineering

Spoonshot

Post acquisition, I continue to support the product and technology charter in an advisory capacity.

My role involves,
- Collaborating with the leadership to formulate strategic plans for enterprise accounts.
- Supporting the technical team in key decision making for both today and the long term.

Technical Advisor

Spoonshot (formerly dishq) is backed by VCs like SRI Capital and Astanor Ventures. We’ve built a “food brain”, an organized store of all digital data of food (from alternative data sources), enriched with domain knowledge of F&B. We're helping the F&B industry with key challenges including new product development, and insights & trends.

Our Vision - Develop a food cognition platform.

Key Highlights:
- Our platform and insights are used by some of the industry giants like Pepsi, Kraft Heinz, and 25+ other players.
- Formed a leadership team. Built an overall org of 45+ people across several functions. Defined org culture, leadership principles, and performance review frameworks.
- Built an end-to-end technology platform crunching 100TB+ data from scratch that powers 3 data products: SaaS, DaaS (Data-as-a-Service), and insights & analytics. It also includes 14+ languages spread across the world. Hired and led the overall tech team of 25 people across 6 functions.
- A few core capabilities include - data pipelines (both stream and batch processing), LLMs for the F&B domain, Knowledge graphs, ML inference systems (for 30+ models), web scraping platform (50M+ pages per day across 30K websites), self-serve analytics & data processing, and backend.

(In Sept 2023, Spoonshot has been acquired by Target Research Group). Our technology and product continues to add value to F&B Analytics sector.

https://spoonshot.com/announcement

Co-Founder & CTO

Startups

Worked with 2 startups on different projects related to Data Engineering & MLOps, and Backend.

Project-1:
- Designed and built a base architecture for data and ML infrastructure. Designs and technologies used: Medallion Architecture, Lakehouse using Deltalake, Spark, and AWS Sagemaker.
- Built in-house wrappers and data transformation framework using Spark. Created a data lake to organize data from various touch points of customers from YouTube, Product interactions, SEO, and Social Media.
- Hosted jupyter notebook cluster backed by Spark. Also, foundational infra for the DS team (of 10+ people) to function in a self-serve manner. Led team to success by hiring, mentoring, and coaching. 
- 'Lead Scoring' model which provides a 2.5X lift in prospect-to-customer conversion in sales funnel.

Project-2:
-  Analysis of all API flows for an e-commerce application. Profiled and identified the bottlenecks in response times.
-  Reduced the average and 99%ile response times by 10X and 50X respectively. Introduced cache warming and denormalized data models to handle spiky traffic.
- Proposed a new architecture to address future needs in increasing SKUs and concurrent users. Also, laid the foundations of event-driven design to extend analytics and add new microservices.

Technology Consultant

Myntra.com

-- Led a team of 3. Owned 2 key services (Search and Detail page). Scaled search to 300K RPM on 1M+ fast-changing catalog.
-- Scaled up both read and writes on solrcloud in large cluster.
-- Monitoring and alerting mechanisms around solr.
-- Implemented guided navigation feature from scratch based on frequently used attributes to improve navigation and funnel conversion.
-- Designed Search system as platform.

Senior Software Engineer in Search

Zomato

Worked on Zomato Search. Few major tasks i have handled,

1. Restructured Zomato search and rewrote search algorithm to improve the relevancy of results.

2. Revamped mathematical model used for the ranking of results.

3. Freehand search on the map for mobiles by generating convex hull of a polygon in 2D space.

4. Setting up Solr servers on production.

Software Engineer in Search

Kiwi, Inc.

Worked in cross platform development team for iOS. We were responsible for porting a game developed in Java (targeted for android platform) onto iOS platform without redoing the entire development process because of different technologies used in both of them.

Software Engineer

IBM India Software Labs

Parallel Algorithms for big data analytics. Implemented machine learning algorithms on map-reduce frameworks.

Summer Internship

Juniper Networks

Currently, building an industry-focused data intelligence product for the food sector using alternative data.

Passionate about building AI driven data products (and platforms) and high quality teams. Love to work at the intersection of system engineering and algorithms.

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