About
Highly motivated and results-oriented Backend Developer with nearly 4 years of experience in designing, building, and optimizing robust backend systems and APIs. Proven ability to deliver impactful solutions. Passionate about tackling complex challenges and driving client success through innovative and efficient software development.
Work
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Full Time
Summary
About Hypertest: No-code API-testing tool that auto-generates end-to-end tests from real network traffic so engineering teams catch bugs before release. -------------------------------------------------------------------------------- At Hypertest, I developed the core software feature that onboarded 7 enterprise clients and generated $126K in its first year. I also made our software 30% smaller for faster deployment and improved code efficiency by 33%. My quick resolution of critical bugs for key clients like Nium and other ensured their satisfaction and contract renewals
Highlights
Built Hypertest's plug-and-play bytecode instrumentation core (HLD→LLD→Prod), securing 7 enterprise clients and $126K ARR in its first 12 months.
Optimized the hypertest library size by eliminating unused artifacts cutting the SDK footprint by 30% (from 20MB) thus speeding up deployment pipelines
Refactored projects by extracting common utilities into a shared module, improving code reuse and maintainability, reducing duplicate code by 33% (approx)
Automated multi-version compatibility tests for Redisson, Jedis, OkHttp3, and AMQP, flagging version conflicts pre-deployment and caught 0-day incompatibilities before deployment.
Championed client success for Nium, Fareye, Loop Health, and Sodel, fixed most critical bugs in less than 24 h and earned "exceptional support" and locking in every client's annual renewal.
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Full Time
Summary
About Fabhotel: Asset-light chain of standardized budget hotels with 600 + properties in 50 + Indian cities , offering reliable , affordable stays to travelers. ---------------------------------------------------------------------------------As a Backend Developer at Fabhotels, I drastically sped up a data gathering tool from 40 seconds to 6 seconds. I engineered a discreet API scraper and scaled systems to handle 10 times more traffic by optimizing memory use. I also made flight searches 300ms faster for over 5,000 monthly users.
Highlights
Developed a selenium scraper featuring dynamic IPs; reduced latency from 40 seconds to 6 seconds by addressing warm-up issue & proxy latency; deployed the solution on GKE with Selenium Grid.
Engineered an undetectable API scraper in Go that bypasses Akamai WAF, featuring JA3 fingerprint spoofing, dynamic IPs, and custom header ordering.
Scaled system to handle 10x traffic by optimizing memory usage via Datadog monitoring and HeapDump analysis
Reduced Flight Search API latency by 300ms/call by consolidating 3 REST calls into 1, improving user experience for 5k+ monthly users
Reduced latency by 7% by replacing REST with gRPC for inter-microservice communication.
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Full Time
Summary
About Aimlarger : Aimlarger is a premier provider of advance technology services, specialising in tailored A. I. Solutions and web development solutions. ----------------------------------------------------------------------------------I took full ownership of backend system development, from initial design to deployment, for a service-based company delivering web solution. A key success was spearheading the Aadhaar Hospital website project—I managed client onboarding, led backend development, and ensured its successful launch.
Highlights
Independently engineered backend systems and managed deployment for a service-based company delivering advanced web solutions, working with a team of 4 people.
Designed and built the Aadhaar Hospital website from scratch, managing client onboarding, backend development, and deployment to ensure a successful project delivery.
Contributed to core technical development while effectively coordinating with team to guarantee smooth project execution and timely delivery.
Future Ready Talent (Microsoft)
|Intern
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Internship
Summary
During my Microsoft internship, I designed and built a facial recognition attendance system. The system achieved 97.3% accuracy in tests and was successfully deployed on Microsoft Azure.
Highlights
Architected an Springboot attendance recording application using Deep Learning and gRPC for communication.
Utilized face-recognition library and achieved 97.3% test accuracy on Labelled Faces in the Wild Dataset.
Successfully deployed both Python application and Springboot backend on Microsoft Azure VM for reliability.
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Internship
Summary
During my TCS ION internship, I developed an image classification model for ford motor client and achieved 98.8% accuracy on the test dataset.
Highlights
Developed an image classification model using TensorFlow and employed Transfer Learning with VGG16 model
Successfully addressed overfitting challenges using dropout and regularizer & achieved 98.8% accuracy on test set
Education
Maharaja Surajmal Institute Of Technology
B.Tech.
IT
Grade: 8.83/10
Jai Hind Public School
Senior Secondary
Grade: 79.4%
St. Francis Xavier School
Matriculation
Grade: 9.4/10
Skills
Languages
Java, Python, Go (Familiar), C, C++, JavaScript (Familiar), HTML, CSS, SQL.
Tools & Frameworks
Apache Kafka, gRPC, Docker, Kubernetes.
Databases
MySQL, MongoDB (NoSQL), Cassandra, Redis.
Cloud
AWS, GCP, Azure.
Other
Git, GitHub, Data-Structure, OS, HLD, LLD, Leetcode.