I am a software engineer with over three years of experience across high-impact roles in both startup and enterprise environments, I bring deep expertise in backend systems, distributed architectures, and data engineering.
At Suprdense, I served as a founding engineer and led backend development for Suprswitch, a cross-CRM data migration and sync tool. I also contributed significantly to Suprconfig, building it from proof-of-concept to production. This role demanded end-to-end ownership—from system design to deployment—and gave me firsthand experience driving early product-market fit and revenue.
Previously at Media.net, I optimized real-time keyword services integral to the company’s ad bidding pipeline and built high-throughput data pipelines that improved model performance. I also explored the application of neural networks in winrate and market price prediction, deploying models with Golang services and testing them for performance at scale.
Experience
Suprdense
Jun 2024 – Present
Gurugram
Founding Engineer
• Led the back-end design and development for Suprswitch, a cross-CRM tool enabling seamless data migration and synchronization. Made major contributions to Suprconfig, a HubSpot implementation tool, from proof-of- concept to production.
• Involved in the entire life cycle of the product, from inception to production for switch and config — playing a key role in driving early revenue traction.
• Technologies: Javascript, Typescript, NodeJs, Postgres, TIDB, AWS Batch, AWS Aurora, Google Cloud Function, Google Cloud Run, NewRelic, Firebase.
Media.net
Jan 2024 – Jun 2024
Bangalore
Software Development Engineer 2
• Designed and implemented data pipelines to add new features in RPS models, improving the performance metric (rmse) by 0.5 - 1 %.
• Worked on optimizing Keyword API service, a pivotal component of the real-time bidding process critical to the firm’s core operations. Led to 5 - 10 % reduction in response time of the API service.
• Technologies: Java, Apache Hadoop Ecosystem, Kafka, Elasticsearch, Jenkins, Aerospike, Docker, Kubernetes, Grafana.
Media.net
Jan 2022 – Jan 2024
Bangalore
Software Development Engineer
• Explored the potential of neural networks in winrate and marketprice prediction in the AdTech space as part of an internship, researched the latest published papers, built the pipeline for TensorFlow model deployment in a Golang service, and conducted in-depth accuracy and load testing of deployed models.
• Designed and developed Trading software from scratch, having been completely responsible for researching/testing Broker APIs and other trading provisions, and implementing POC.
• Worked on a early stage experimental product in crypto space. Built the end to end backend solution for realtime dashboard using OLAP database, being actively involved in infrastructure decisions.
• Technologies: Python, Django, PinotDB, Apache Hadoop Ecosystem, Go, Trading APIs, Flask, React, Kafka, gRPC, Websocket, REST, Elasticsearch, Jenkins, Tensorflow, Optuna, Docker, Kubernetes, Grafana.
Media.net
May 2021 – Jul 2021
Mumbai
Software Engineering Intern
• Big data analytics to come up with parameters to segregate visitors (of acquired ad spaces) into different groups. Created data pipeline to automate the population of the aforementioned parameters in database to be of use as potential features in ML models for further optimization of bidding process.
• Technologies: Apache Hadoop Ecosystem, MySQL, Apache Spark, Scala.