Saksham Arora

| LinkedIn

About

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.

Work Experience

MTS-1

Euler Motors, Delhi

Dec 2025 - Present

  • Designed and optimized data pipelines handling billions of daily events using Kafka and Flink, integrating 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, enabling 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 processing 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 automated certificate provisioning and rotation system, improving security compliance and reducing certificate-related failures by 40%, ensuring seamless authentication for over 10,000 vehicle connections.
  • Designed and implemented a scalable commands/command-response system for real-time communication 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 management 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.
  • Employed multi-threaded C programming using Azure RTOS to significantly improve the performance and functionality of the vehicle control unit, while also developing and implementing an efficient Pulse charging algorithm for fast and optimized charging of electric vehicles.

Quantitative Research Intern

Alphabot India, Gurugram

Dec 2025 - Present

  • 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%.
  • Reduced risk of ruin to 5% by implementing Monte Carlo simulations and N-Consecutive loss probability. Managing weights to minimize portfolio variance.
  • Backtested and evaluated trading strategies & executed strategies having CALMAR ratio above 2 on digital ocean cloud.

Education

Electrical Engineering

Delhi Technological University, New Delhi

8.4 CGPA

Jan 2019 - Jan 2023

Volunteer

Co-founded

Team Black Pearl for Cansat 20

  • Established a team of individuals that share keen interest in UAVs and aerodynamics of aerial systems like military drones and are trying to make them at a lower cost for surveillance and relief purposes.
  • Led a team of 15 Students in Cansat competition organized by US naval research, Lockheed Martin.

Projects

Time Series Analysis

Image Captioning

Awards

Finalist CANSAT 2020 Global rank 14'th

Mathematical Methods for Quantitative finance by MITx on Edx

Skills

Java

REST APIs

Kubernetes

PostgreSQL

Celery

Fast Api

Data Pipeline

Python

Docker

Apache Flink

Protocol Buffers

AWS

MongoDB

Kafka

Statical Modeling

Flask

C

SQL