Jul 2021 – Jan 2023 · 1 yr 6 mos

• Drove key architectural decisions with a focus on scalability and extensibility to cater to the business needs of an early stage startup
• Implemented a data-intensive application to deliver real time engagement metrics to CRMs. Extensibility reduced the time to add new connectors for more CRMs, enabling the organization to grow the client pool by 30% within 6 months.
• Communicated technical trade-offs across the organization and devised the technical strategy for the short and long-term goals
• Champion the event driven architecture & the benefits across the technical sub-organization to achieve reliability and resilience with data products
• Spearheaded the initiative to break the monolith, and carve out a new-micro service to achieve 10X scalability with bulk registrations.
• Established the path forward to carve out more microservices, gearing up the organization for more scalability
• Led the initiative for Cloudflare integration to protect the cloud infrastructure from security vulnerabilities

Apr 2018 – Jul 2021 · 3 yrs 3 mos · Toronto, Canada Area

• Developed distributed systems to build a foundation layer to ingest high throughput user clickstream data as a precursor to developing in-house machine learning algorithms
• Spearheaded the initiative to build real-time user contexts from clickstream data
• Developed personalization algorithms (based off Fogg's Behaviour Model) to boost user engagement by 15%
• Managed integration of the core SDK with 30+ internal customers, and developed internal tools to reduce manual support by 50%
• Drove automation of manual operations for critical incidents

Jul 2017 – Mar 2018 · 8 mos · Gurgaon, India

• Implemented a novel technique of tumour classification on lymph node images, a part of Camelyon 16 Challenge. While computers would handle tasks like screening, pathologists would be able to focus more on complex tasks (https://github.com/anuragvermaknn/digital-image-analysis-sulli)

Sep 2016 – Jun 2017 · 9 mos · Gurgaon, India

• Built prototypes for AI-intensive tasks such as image captioning and segmentation using open sourced trained AI models
• Developed an AI-intensive application to extract and aggregate information on e-commerce products from public Instagram images.

Nov 2015 – Aug 2016 · 9 mos · New Delhi Area, India

• Developed a personalized real-time recommendation engine based on multilingual text prompts for a huge user base of 5M, spread across diverse languages
• Curated a proprietary labelled dataset for multilingual hybrid text prompts to feed into the recommendation engine to achieve an accuracy of more than 80%

Jul 2014 – Nov 2015 · 1 yr 4 mos · Gurgaon, India

• Developed the backend of the entire web platform for the sellers, and built crucial features to empower the sellers to engage with 10X more customers with no extra work.

Jul 2013 – May 2014 · 10 mos · New Delhi Area, India

• Teaching Assistant for the following courses:
• 1.Number Theory
• 2.Statistical Methods and Algorithms
• 3.Basic Computer Science