About Me
I am a highly driven and product-focused engineer with a passion for delivering robust, end-to-end systems.
With hands-on experience in building scalable microservices, real-time data pipelines, and secure IoT
communication frameworks, I take deep ownership of every project I work on. My approach blends strong critical
thinking with a rapid learning curve, allowing me to adapt quickly to new challenges and technologies. I thrive
in high-impact environments where systems thinking, performance optimization, and cross-functional collaboration
come together to solve complex problems at scale.
Experience
MTS-1, Euler Motors (Dec 2023 - Present)
- Designed and optimized data pipelines handling billions of daily events using Kafka and Flink, inte-
grating non-blocking socket I/O multiplexing and MQTT to receive vehicle events, and worked on
real-time, Offline, and Backup pipelines.
- Implemented Protocol Buffers in data pipelines to reduce data packet length by 40%, improving
transmission efficiency across pipelines thus reducing data transfer cost by 20%
- Developed algorithms to model component hierarchies and store inter-component compatibility, en-
abling a streamlined vehicle manifest system. Revamped compatibility and suggestion APIs, reducing
clutter and optimizing linking/delinking processes for seamless modular integration.
- Designed and implemented a high-performance notification pipeline microservice capable of process-
ing billions of events daily, enabling real-time alerting and user notifications with high reliability and
scalability.
- Developed an SSL certificate management system for MQTT-based telematics. Designed an au-
tomated certificate provisioning and rotation system, improving security compliance and reducing
certificate-related failures by 40%, ensuring seamless authentication for over 10,000 vehicle connec-
tions.
- Designed and implemented a scalable commands/command-response system for real-time communi-
cation between vehicles using microservices architecture, enabling seamless integration across various
applications.
- Designed and implemented a comprehensive Over-the-Air (OTA) update pipeline for Vehicle ECUs,
developing the entire protocol and supporting infrastructure. Built a scheduler for transaction man-
agement with compatibility checks and a microservice-based OTA manager, reducing update time
by 60% and increasing success rate by 20% while enhancing observability and alerting mechanisms.
- Worked on creating Task Offloader using Celery for decoupling long computational tasks from APIs.
- Developed MES workflows, including quality control and onboarding for automotive components.
- Designed and deployed multiple REST APIs with a scalable architecture for internal applications.
Key Skills: Java, Python, Docker, REST APIs, Flask, Apache Flink, AWS, Kubernetes, Kafka,
Protocol Buffers, MongoDB, PostgreSQL, Celery
Quantitative Research Intern, Alphabot India (May 2022 - July 2022)
- Identified cointegration in stock pairs in Indian equity using Augmented Dickey-Fuller test to find
stationary spread series and clustered pairs. Implemented directional Stat Arb with success rate of
92%.
- Backtested and evaluated trading strategies & executed strategies having CALMAR ratio above 2
on AWS cloud.
- Backtested high-CALMAR strategies on cloud infrastructure
Key Skills: Python, Docker, REST APIs, Statical Modeling
Projects
- Time Series Analysis: Forecasted stock data using ARIMA models (AIC = -14114)
- Image Captioning: Built CNN-LSTM model trained on Flickr30k for image-to-text
Skills
- Languages: Java, Python, C++, C, SQL, JavaScript
- Tools: Docker, Kubernetes, REST APIs, Kafka, Apache Flink, FastApi, PySpark
- Cloud: AWS
- Databases: MongoDB, PostgreSQL