Jan 2023 – Aug 2024 · 1 yr 7 mos

• 1. AUTO KYC Engine: Built KYC engine from scratch, capable of automatically deciding whether the user-submitted details are correct for KYC or not
• 2. Strategic B2B Integration: Orchestrated end-to-end integration with prominent B2B clients including industry giants like Swiggy and Teleperformance, showcasing a knack for building strong partnerships and driving business growth.
• 3. Critical Engineering Leadership: Led pivotal engineering initiatives such as setting up CI/CD workflows for mono repo lambdas and establishing robust B2B ETL pipelines, demonstrating adeptness in tackling complex technical challenges and driving operational efficiency.
• 4. B2C Vertical Management: Took charge of the B2C vertical for a quarter, overseeing project deliverables and providing guidance to junior team members, highlighting leadership and mentorship skills.
• 5. Exceptional Growth Achievement: Spearheaded the Refyne platform during festivals, achieving unprecedented spikes in user engagement metrics including Daily Active Users (DAU), Monthly Active Users (MAU), and transaction counts, underscoring a proven track record of driving impactful business outcomes.
• 6. Innovative Reward Engine Development: Conceptualized and built various reward engine capabilities such as Virtual rewards, scratch cards, and gifting options, showcasing a commitment to innovation and enhancing user experience.

Aug 2021 – Jan 2023 · 1 yr 5 mos

Mar 2021 – Jul 2021 · 4 mos

• Refyne partners with organizations to extend on-demand salaries to their employees.
• Employees can see and withdraw their earned salary without succumbing to exploitative payday loans or other high-interest credit schemes.
• We believe that access to earned salary lies at the heart of a stress-free and productive workforce.

Jan 2021 – Mar 2021 · 2 mos

• Worked as a Machine Learning engineer on the challenge to identify different pathologies and mass based on ultrasound scans.
• Worked on various phases of the project from data collection to model deployment.
• Worked on Object detection models like YOLOv3 to localize the area of the affected mass.

Jun 2020 – Aug 2020 · 2 mos

• Worked as a Machine Learning engineer on the challenge to identify the reason for increasing dumpsites throughout the world and finding ways to make citizens aware of the recycling guidelines.
• Worked on various phases of the project from data collection to model deployment.
• Deployed an Image Recognition classifier using InceptionV3 architecture with more than 20 classes which achieved an overall accuracy of 94.6%.

Jul 2019 – Aug 2019 · 1 mo · Noida, Uttar Pradesh, India

• Worked as a Subject-Matter Expert in the field of Advanced Mathematics.
• The main areas of focus were Complex Integrals, Differential Equations, and Advanced Trigonometry.
• Answered 300+ Complex Questions during my tenure.
• Answered Questions on different platforms including Chegg.

Jun 2019 – Jul 2019 · 1 mo · Noida, Uttar Pradesh, India

• Worked on a Face Recognition Based Attendance System.
• Deployed a Face Recognition Software using Machine Learning and Computer Vision as the backend and Tkinter as the frontend. The project was deployed on a Raspberry Pi which led to a 40% savings in the overall cost.
• Drove operational improvements which resulted in savings and improved profit margins.