FanDuel

Senior Software Engineer

OneFin

• OneFin is a FinTech SaaS startup, offering a suite of financial technology, including collections, accounting, and reconciliation.

• Created and built, a generic front-end architecture, and introduced Event-Driven Architecture in the back end. This pivoted the company to a SaaS model, enabling a no-code platform that reduces the time to go live from months to days, increasing revenue and getting new clients on board.

• Managed and led a team of ~10 backend and frontend developers that was instrumental in the transformation of the company.

• Designed and built various financial APIs, Credit Lines, and Supply Chain APIs that cater to 10+ million invoices monthly, and are actively used by large FinTech companies at scale.

• Introduced CI/CD using GitHub Actions to inculcate unit and end-to-end tests. Worked on Python, Django, Celery, Angular, and Postgres for the data store, Redis, and AWS. Hands-on experience with Nginx, PWA, and AMP.

• Worked on Amazon Web Services (EC2, ECS, Fargate, Lambda, RDS, Route53, S3, SES, SNS), Linux, Git, Agile Practices, and Jira.

• Learned Modular, Object Oriented Design Patterns, Unit/Functional Testing with TDD, Asynchronous Patterns, S.O.L.I.D Principles & some Functional Programming styles & strategies.

• Experience working with Agile, Lean, and Continuous Delivery approaches and best practices, such as Continuous Integration, TDD, Infrastructure as Code, and much more.

Team Lead

PrivateCircle

• PrivateCircle is a FinTech company, doing Research + Connect marketplace platform, that brings together Growth companies, VC & PE funds as well as HNIs looking for exposure to private equity investments.

• Created and managed pipelines, and scraping. and ingesting millions of records on each run, to finally show it to the user.

• Designed and managed, complex monitoring for data runs. Created an automated tool to help reduce manual data-entry effort.

• Using Python and Django for the backend, MongoDB for the data store, ElasticSearch for search, and Redis. Used libraries such as NumPy and Scrapy extensively to scrape and scale data.

Backend Engineer

ShipThis

• Shipthis enables traditional freight forwarders to evolve and transform into tech-based freight forwarders smoothly and effectively.  Freight forwarders can do their freight forwarding businesses with AI-driven ERP, CRM, Warehouse Management, and more.

Led automating quotation of cargo, wherein a request for quotation is addressed in real-time.
• Used AI for the intent of the E-Mails to reduce human overload and enable automation. Automated tracking of shipments (such as for air and ship cargo), making it generic and using NLP for Track Trace.

• Used Python, for the backend and Angular for the front end, MongoDB, Redis, Google Cloud Computing, and AWS. Introduced better logging mechanisms.

Senior Full Stack Engineer

WittyFeed

• One of the hottest startups in the country and the World's second-largest content platform, I built WittyFeed from the ground up, including the architectural design. Developed and handled WittyFeed's main product, the Mobile and Desktop site, which collectively have 100+ Million users a month, allowing the opportunity to solve various challenges at scale.

Built WittyFeed from the ground up, including the architectural design. Developed the main product, which collectively has 100+ Million users a month, allowing it to solve various challenges at scale.

• Designed, and developed an internal tool, which accessed many of the company's social media pages, and assesses various virality metrics. This helped in increasing the company’s revenue. 
This was made in Python, Machine Learning, and NLP. This tool was also pitched to investors.

• Used AngularJS, Python (Flask and Tornado), and Node JS. Worked on both relational and non-relational databases, and for scalability worked extensively on Memcached and Redis

WittyFeed has over,
- 60 million unique visitors and 250 million page views per month.
- 17th Rank in India according to Alexa. (As of March 4th, 2017)
- 277 Global Rank according to Alexa.
- 109th largest website in the United States by Quantcast.
- 45,000 concurrent users.
- More than 6,000 social media influencers on board making the content viral.
- WittyFeed had 420 million page views and 2.5 billion ad impressions by March 2016.
- About 75% of the traffic comes from English-speaking countries, namely the US, UK, Canada, and Australia.

Handled 100+ Million users, and experienced solving problems at scale. Passionate about building products. Led and managed teams of developers.

Worked with various technologies such as Python, Node, Typescript, Angular, PostgreSQL, Redis, MongoDB, AWS, Nginx, and NLP.

Theoretical and hands-on experience in data structures, algorithms, and databases.

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