Apr 2022 – Aug 2024 · 2 yrs 4 mos · Gurugram, Haryana, India · On-site

• Led the end-to-end development of the Pay Later Transaction Engine and Credit Management System, establishing the foundation for scalable credit operations.
• Directed Site Reliability Engineering (SRE) efforts for the digital payments router and checkout platform, which achieved the capability to handle over 100,000 concurrent transactions per second at peak maturity.
• Engineered a full-scale asynchronous I/O transformation, automating the replacement of all blocking I/O with asynchronous code using advanced Regular Expression (Regex) and Abstract Syntax Tree (AST)-based refactoring while maintaining the business logic compliance with test suite. This optimization reduced p99 latency from 2.5 seconds to 45 ms and average latency from 350 ms to 25 ms, leading to a 70% reduction in server requirements.
• Designed and operationalized a near real-time, self-healing memory cache powered by Change Data Capture (CDC). This system reduced load on the production PostgreSQL database by 75%, achieved 1 ms configuration reads, and enabled zero-delay configuration rollouts.
• Spearheaded multiple high-value third-party integrations, including Navitaire’s airline ticketing systems, enabling plug-and-play onboarding of airlines onto the Nimbbl payments platform.
• Executed global code-base transformations via AST manipulation, automatically standardizing 25,000 log entries to provide exhaustive transaction context, resulting in a 71% drop in error-related tickets and 100% fault-traceability.

Nov 2021 – Apr 2022 · 5 mos · Remote

• Led a 20 people team of data scientists and full stack web developers to deliver a production grade automobile damage and repair estimation system based on vehicle images.
• Communicated company Objective and co-defined OKRs for 20+ Deep learning and core engineering team.
• Led efforts to overhaul the system and ready it for 100x volume expected out of large clients like Number 1 Passenger Vehicle OEM in India and biggest fleet operators in states.
• Led efforts to develop Android SDK for edge based vehicle detections and deep learning model routing simplifying integration in already distributed application to 10s of thousands of users by 50+ partners.
• Helped team in upskilling, delivered a custom product to bridge proprietary apis and user interface requirements of end customer.
• Led Android team to ready the prototype stage native app for production. Extensively collaborated to patch the areas causing app crashes and freezes due to heavy computations(image transformation and deep learning inference) happening on main/ui thread. AI on Edge increased the agent satisfaction score by 53% improving field car audit agent retention by 63%.

Jul 2020 – Jan 2021 · 6 mos · Hyderabad, Telangana, India

• Worked actively with various departments to secure access to data & permission to alter their applications’ code & tick the checklist required for launch.
• Integrated AI-based company-wide run-time issues’ categorization & related suggestion systems in existing ticketing applications, with Natural Language Processing, Topic Modelling, Sentence Embedding, DNN based Classification,
• fine-tuning BERT model, Flask, Spring Boot for integration.
• Worked in PAW(Platform & Warehousing) team focused on increasing the code test coverage, decoupling the architecture by refactoring the dependencies
• and other assigned tasks.

Feb 2020 – Apr 2020 · 2 mos · Hyderabad, Telangana, India

• Augmented the existing ticketing system with an NLP-based Ticket Triage feature which minimized the manual intervention and reduced the ticket resolution time by manifolds.
• Implemented an NLP-based semantic search for Smart Recommendation of semantically similar tickets to eliminate the toil in logging and reviewing the already resolved tickets.
• Integrated with a web-based ticketing platform and packaged the implementation for production deployment involving Java Spring Boot and JavaScript.

Aug 2019 – Feb 2020 · 6 mos · New Delhi Area, India

• Edumorf has a demonstrated history of offering personalized learning solutions to 1000s of school students by leveraging the power of advanced technologies like Virtual Reality and Artificial Intelligence for large-scale impact without compromising the individual interest of students.
• I lead technology architecture and implementation at Edumorf.

Mar 2019 – May 2019 · 2 mos · Remote(Delhi)

• Developed a single standardised interface for hotel reservation APIs of various services like Expedia, Agoda etc using Scala and Finagle.
• Unit tested, Stress tested as per production load prediction.

Feb 2019 – Jul 2019 · 5 mos

• Provided solution architecture for diverse problems posed by clients and in-house product team using diverse technologies like Deep Learning, Scala, Java, Web technologies, Android SDK and iOT devices(Odroid, Raspberry PI and custom micro-controllers).
• Along with preparing architectures, I worked hand-in-hand with development team involving web development using Scala, dotNet, Python, Angular, Computer Vision using Deep Learning, Android

Jan 2019 – Mar 2022 · 3 yrs 2 mos

Jan 2019 – Feb 2020 · 1 yr 1 mo · Delhi

• At Logisoft, I contribute towards furnishing of business requirement documents, pre-sale process, solutions architecture, team hiring, development supervision and project management.

Mar 2018 – Dec 2018 · 9 mos · India

• Titanic App is an artificial Intelligence based dating application which focuses on online safety and privacy of women interested in dating. We do so by eliminating issues a woman encounters on conventional online dating platform like privacy and profile visibility. We got a good initial traction, however due to lack of working capital we had to shut the operations abruptly.
• Along with product development and designing, I managed a team of 5 full-time developers and 10 interns who were working on technologies involving Android SDK, Scala(Backend) and Deep Learning for inappropriate image filtering.

Jul 2017 – Feb 2018 · 7 mos · Lucknow Area, India

• After formal wrapping up of 2nd startup, I started apprenticeship under @ravi-teja in search of next idea. I was part of team which organised events in colleges to inspire people to start up new ventures and embrace latest technologies like Blockchain and Virtual Realty.
• Along with this in free time, I acquainted myself with technologies like Scala, Couch DB, Cassandra, Accumulo, Play Framework, Lagom and how to work with big teams in corporate setting.

May 2016 – Jul 2017 · 1 yr 2 mos

• Mandisoft was started with an aim to offer web based ERP solution to migrate pen&paper based book keeping of local retailers and wholesalers to the cloud. We worked with 10 businesses and managed accounts worth 75 crore INR(10mn USD) using Mandisoft. Due to small market size, low business viability and other priorities, we open sourced core product and moved on.
• https://github.com/ravinderpayal/MandiSoft

May 2016 – Jul 2016 · 2 mos · Delhi, India · Remote

May 2013 – May 2016 · 3 yrs · Hisar Area, India

• Fun n Enjoy was started with an aim to provide a social network optimised for desi market. We were able to capture around 10,000+ users from Northern India but the vision succumbed to slow growth and average technology competency.