Mar 2023 – Oct 2024 · 1 yr 7 mos · Gurugram, Haryana, India · Hybrid

• ✅ 𝑪𝒐𝒍𝒍𝒆𝒄𝒕𝒊𝒐𝒏 𝑺𝒆𝒓𝒗𝒊𝒄𝒆 𝑰𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒊𝒐𝒏:
• ▪ Designed and implemented a scalable pipeline to send real-time loan updates to external collection services, featuring bulk data publishing, retry mechanisms, OAuth 2.0 token management, and rate-limiting for optimized performance.
• ▪ Improved processing efficiency, enabling the system to handle 1M+ loan updates daily with a 99.9% success rate.
• ✅ 𝑩𝒖𝒓𝒆𝒂𝒖 𝑫𝒂𝒕𝒂 𝑷𝒊𝒑𝒆𝒍𝒊𝒏𝒆:
• ▪ Built and deployed a robust pipeline to retrieve and process user information from multiple credit bureaus.
• ▪ Integrated seamlessly with Salesforce APIs to ensure efficient data delivery to the Collections team.
• ▪ Enabled processing of 500K+ user records daily, improving data retrieval time by 40%
• ✅ 𝑵𝒐𝒕𝒊𝒇𝒊𝒄𝒂𝒕𝒊𝒐𝒏 𝑺𝒆𝒓𝒗𝒊𝒄𝒆 𝑶𝒑𝒕𝒊𝒎𝒊𝒛𝒂𝒕𝒊𝒐𝒏:
• ▪ Enhanced the notification service to ensure reliable message delivery, even during pod failures.
• ▪ Implemented status flows, Integrated Amazon SQS queues, and failure detection mechanisms to track task progress and manage retries.
• ▪ Enabled seamless recovery and ensured 99.9% uptime, supporting delivery of 1M+ notifications daily without interruptions

Jun 2021 – Mar 2023 · 1 yr 9 mos · Gurugram, Haryana, India

• 𝑫𝒆𝒅𝒖𝒑𝒆 𝑬𝒏𝒈𝒊𝒏𝒆 :
• ✅ Designed and implemented a high-performance management system to combat acquisition fraud and user connection duplication. This included:
• ▪ A real-time data pipeline using Kafka connectors.
• ▪ A scalable Go REST API capable of efficiently managing over 550M+ records through advanced concurrency techniques.
• ✅ Ensured API latency remained under 1 second while searching a 550M+ record database by:
• ▪ Implementing logical partitioning for efficient data distribution across tables.
• ▪ Leveraging optimized concurrency to parallelize processing tasks effectively.
• ▪ Preprocessing data at the staging level to minimize on-the-fly computations.
• 𝑨𝒊𝒓𝒕𝒆𝒍 𝑶𝒓𝒅𝒆𝒓 𝑴𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕 𝑺𝒚𝒔𝒕𝒆𝒎 𝑼𝒑𝒈𝒓𝒂𝒅𝒆
• ✅ Upgraded Airtel’s order management system from a legacy Siebel CRM to a 10x scalable microservices architecture built using Golang.
• ✅ Impact:
• ▪ Enabled real-time data processing for faster and more efficient workflows.
• ▪ Supported complex business logic for diverse operational needs.
• ▪ Implemented automated error handling, improving system resilience and reducing downtime.

Jun 2020 – Jul 2020 · 1 mo · Delhi, India

• 𝑺𝒎𝒂𝒓𝒕 𝑴𝒆𝒕𝒆𝒓 𝑺𝒚𝒔𝒕𝒆𝒎 𝒇𝒐𝒓 𝑬𝒍𝒆𝒄𝒕𝒓𝒊𝒄𝒊𝒕𝒚 𝑻𝒉𝒆𝒇𝒕 𝑫𝒆𝒕𝒆𝒄𝒕𝒊𝒐𝒏:
• ▪ Designed a smart meter system to transmit data to a centralized cloud for real-time fraud detection.
• ▪ Developed an autoencoder-based ensemble of wide and deep CNNs, achieving high detection accuracy.
• ▪ Compared results with models like Gradient Boosting, SVM, MLP, and CNN for performance evaluation.

May 2020 – Jul 2020 · 2 mos · Dehradun, Uttarakhand, India

• 𝑺𝒉𝒊𝒑 𝒂𝒏𝒅 𝑨𝒊𝒓𝒄𝒓𝒂𝒇𝒕 𝑫𝒆𝒕𝒆𝒄𝒕𝒊𝒐𝒏:
• Ship and Aircraft Detection in Satellite Images using Deep Learning Techniques (YOLO & Faster-RCNN).
• ▪ Worked on preprocessing satellite data and applied basic remote sensing techniques.
• ▪ Implemented deep learning object detection algorithms such as YOLO and Faster-RCNN for detecting ships and aircrafts.
• ▪ Applied models on SAR and Optical satellite images to enhance detection accuracy.

May 2019 – Jul 2019 · 2 mos · Mandi, Himachal Pradesh, India

• 𝑻𝒊𝒎𝒆-𝑺𝒆𝒓𝒊𝒆𝒔 𝑭𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈:
• Forecasting of Landslides and Healthcare Expenditure using Deep Learning Techniques.
• ▪ Designed and implemented multi-headed deep learning forecasting models for accurate predictions.
• ▪ Integrated statistical models to compare and validate forecasting accuracy.
• ▪ Optimized models for real-world applications in disaster management and healthcare resource planning.