I am a sector-agnostic angel investor.Like almost everyone, I believe (P) Problem, (M) Market size, (B) Business model, and (T) Team are the key factors that drive the success of a venture. Beyond this, I also weigh the opportunities on innovation density(or depth) and the quality of the problem.Portfolio:1. Even - Health-tech company and healthcare provider that partners directly with the top hospitals in the country to provide for things your conventional insurance doesn't.2. Lohum Cleantech - Advancing circular lithium-ion battery manufacturing and recycling(EV).3. Insane AI - Augmented Reality(AR) powered fitness training app.4. ADLOID - Bringing the magic of Augmented Reality(AR) to millions of customers.5. Clinikk - Healthcare for millions across India, now simplified.6. Express Stores - Organize Kirana stores.7. Melorra - Jewelry brand that designs and retails affordable and trendy jewelry for everyday wear.8. Stage3 - India’s first social shopping app for next-gen fashion lovers.9. Adonmo - Rethinking outdoor advertising.10. SuperBeings - Platform that provides Leaders with the tools, insights and learning needed to continuously supercharge their teams.11. BusinessOnBot - Automated sales and user acquisition on WhatsApp for businesses in India.12. Fanplay Inc - Real-money gaming startup that specializes in trivia games.13. FactoryPlus - Factory Management Platform for Manufacturers.14. Gold Setu - FinTech + CommerceTech for $100B Gold/Jewelry market of India.15. Auric - Wellness D2C brand.16. Xook - Developer of robotic fresh food kiosks that delivers fresh food at the office, cafeteria, or at an apartment.17. Unbox Robotics - "Package Sorting" solution for the Global Logistics Industry.Feel free to e-mail opportunities at md.jahangir27@gmail.com

Cotiviti Labs is the advanced R&D arm of Cotiviti. Cotiviti labs drives research and development using advanced technologies like functional programming, graph analysis, and other breakthrough innovations to drive revenue growth. Founding engineer/architect of a new flagship product being created around real-time claims engine and analytics using the best of technologies suited to create a huge value for the clients in terms of speed to market around features, accuracy, latency, throughput and thus better experience overall.Developed different versions of real-time claims engine using:1. Lambda architecture using Hadoop and HBase.2. Streaming using Akka streams.3. Graph databases like Triple Rush.Contributed to open source projects -1. In-memory pub-sub system using Akka Streams - https://github.com/cotiviti/adda2. Triple store - https://github.com/uzh/triplerushTechnologies & Frameworks: Scala, Java, HBase, Scalding, Cascading, neo4j, Docker, Hadoop, Kafka, Pig, Akka, Akka Streams, Spray, Sparql, Triple stores, Cucumber, Scalacheck, ScalaTest.

RoR, mongodb, hiring/mentoring.

Engineering manager & Architect - Architecture Group(Digital Products). Team: Started, managed and grew the architecture team from 2 to 8 .Scale: Architect and engineer for various components of HBO GO back-end. Transitioned the data stores to NoSQL systems like Cassandra to handle huge traffic surges.Quality: Improved the quality of systems by helping everyone adopt quality mindset and adding different levels of testing. We went from very low code coverage to high code coverage and enabling everyone to ship product with high quality.DevOps: Improved engineering productivity by adding Jenkins, SonarCube and different plugins.Technologies & Frameworks: Java, Scala, jBehave, Cassandra, Mahout, node.js, Spring.

Team Lead(Lead Computer Scientist) for Platforms, Adobe Audience Manager.Promoted to Tech Lead within a short span of time.Architected a new next generation Ad-tech platform using HBase, Cassandra, Hadoop, Flume, Hive and AWS from the scratch.Team: Hired 3 new team members to the team.Scale and performance:a. Real-time service: Created an edge cache service which stores user segments capable of handling huge load of > 100 K QPS and doing < 20 ms on > 99.4 % requests.b. Batch services: i. Identification of users across various datasets, loosely connected analytical services using pub-sub leading to better targeting and better quality. ii. Reduced the feedback time on the reporting to minutes from a day earlier.Our Cassandra Implementation(Cassandra Conference 2011):http://www.youtube.com/watch?v=tVbSeNkm8QMTechnologies & Frameworks: Java, Hadoop, Cassandra, Redis, HBase, Hive.

Search, analytics, inhouse e-mail platform, reporting and web services. Pod Lead for Analytics team using Machine Learning.Technologies & Frameworks: Java, Python, PHP, jQuery, CSS, Lucene, Solr, Katta, Weka, Mahout, Nutch, Hadoop.

Research assistant under Prof. Steven Skiena.Work: Data mining, Machine learning and NLP work on open source information and reporting tools using latest technologies.Projects worked on: Name-based ethnicity and classifier - http://www.textmap.com/ethnicity/ and TextMap - http://www.textmap.com/Paper published at ACM conference - http://dl.acm.org/citation.cfm?id=1557032Technologies & Frameworks: Java, Perl.

Building retail trading applications from scratch. Enhancements, reporting and improvements to the infrastructure.Technologies & Frameworks: C++, Cobol, PL-SQL.