Software Developer
Building scalable backend systems with expertise in Java, Spring Boot, and distributed architectures. Currently at Times Internet, working on high-traffic services serving millions of users.
Passionate about building robust, scalable backend systems that power high-traffic applications
I’m a Software Engineer & an AI Generalist specializing in designing and scaling high-performance backend systems that handle millions of users daily. At Times Internet, I lead initiatives on mission-critical services such as the Comments platform (15M+ DAUs) and Unified Feed APIs, driving major gains in latency reduction, fault tolerance, and system throughput.
Previously at Paytm, I optimized and maintained microservices powering FinTech operations for 10,000+ field agents, streamlining workflows for loan disbursement, QR code validation, and geolocation-based verification.
I bring deep expertise in Java, Spring Boot, MySQL, MongoDB, Redis, and modern engineering practices with Docker, Jenkins, Apache Kafka, and ElasticSearch. My passion lies in building backend architectures that are not just fast, but unfailingly reliable and ready to scale.
Building scalable systems across different domains
Owned and scaled the Comments service for 15M+ DAUs across 6+ TIL apps with 99.99% uptime, optimized Unified Feed APIs to cut latency from 800 ms to < 70 ms, modernized GA ClickHouse pipelines reducing failures by 70%, and enhanced ad placement systems boosting engagement by 15–20%. Delivered multiple performance gains, including 30% faster content delivery, 40% lower analytics latency, and 90% reduction in stale news through automation and microservices.
Applied prompt engineering to design and refine AI training data, using reasoning-based annotations to enhance task quality. Improved coding task instructions and evaluated exercises for accuracy, clarity, and alignment with rubrics.
Improved the Revisit microservice for 10,000+ PSA app agents, streamlining loan disbursements and hardware validation. Built APIs for QR, OTP, and geolocation, reducing onboarding failures by 25%. Fixed NCMC and FASTag issues, boosting transaction success rates by ~20%.
Implemented a model to classify eating disordered and non-disordered Twitter users based on their social status, behavioral patterns, and psychometric properties. View Project
Built an NLP-driven ambiguity detection tool for domain-specific PDFs, improving text classification accuracy by 18% over baseline and reducing false positives.
Provided high-quality solutions and step-by-step explanations for complex mathematics problems, ensuring accuracy, clarity, and adherence to academic standards.
Technologies I work with to build robust backend systems
Crafted with Code
It is a digital aid distribution platform designed to enhance the delivery of emergency relief, leveraging digital identity verification and geolocation-based beneficiary prioritization.
View Project →
A Comprehensive Micro-Finance Platform aimed at underbanked communities, providing seamless access to financial services such as loans, insurance, and savings accounts.
View Project →
Created a tool which takes two corpus (PDFs) as input of different domains and analyzes the domain or context specific ambiguities in natural language text using neural word embeddings.
View Project →Academic background and certifications
Integrated MSc in Mathematics and Computing (major)
2018 - 2023
BS-MS (5 years) program provided a strong foundation in advanced mathematics, algorithms, data structures, and computational problem-solving, bridging theoretical depth with practical software engineering skills.
Bachelor of Technology in Electrical Engineering (minor)
2019 - 2023
Earned Minor in Electrical Engineering by fulfilling required credits through specialized courses.
HackerRank • Aug 2023
Credential ID: 74247CC7E7EE
Postman • Nov 2022
Credential ID: 6727cd05ec6e58181771327d
• Top 30 finalists - MedPiper Hackemist Hackathon 2022
• Top 40 participants - HackOn with Amazon 2021
I'm always interested in discussing new opportunities and challenging backend projects
Open to new opportunities
I'm passionate about building scalable backend systems and would love to discuss how my experience with high-traffic applications at Times Internet and Paytm can contribute to your next project.