Mohammed Siddiq

Mohammed Siddiq

Engineering Leader

About Me

As an experienced Engineering Leader, I have spent over seven years driving the design and development of scalable backend services and large-scale distributed systems across industries such as ride-hailing, grocery delivery, and retail threat detection. I hold a Master’s degree in Computer Science from the University of Illinois at Chicago, which has deepened my technical expertise and fueled my passion for building robust, high-impact systems

I thrive on solving hard technical problems and enjoy turning abstract ideas into working systems that create real-world impact. Whether it’s designing fraud detection workflows, optimizing delivery systems, or modernizing monoliths, I find purpose in engineering value.

Outside of work, I enjoy journaling and reading biographies of world-changers—it reminds me to live purposefully and refine my journey. Recently, I’ve taken up chess.

Work Experience

Software Development Engineer 3 – Tesco (GeekTrust), Bengaluru (Feb 2024 – Present)

Working on designing and building robust data platforms, pipelines, and microservices to support Tesco’s retail operations. Focused on improving scalability, fault tolerance, and service reliability across distributed systems.

Staff Engineer – Shipt Inc, Remote (July 2023 – Feb 2024)

Led architectural efforts for backend services in a microservices ecosystem, mentoring engineering teams and setting engineering best practices for scalability, observability, and performance.

Senior Engineer – Shipt Inc, Remote (Feb 2022 – July 2023)

Built and maintained distributed systems for critical features like pricing and product info services, contributing to major latency and availability improvements.

Software Engineer – Egen Solutions (Peapod), Chicago (Nov 2020 – Feb 2022)

Developed real-time order tracking, dynamic pricing systems, and internal tooling to support e-commerce fulfillment.

Software Engineer – UIC Research, Chicago (Oct 2018 – May 2020)

Built systems to facilitate research in distributed computing, including simulation environments and visualization tools.

Graduate Teaching Assistant - Engineering Distributed Objects in Cloud Computing
- UIC (Fall 2019)

Teaching Assistant for Graduate course CS 441 under Prof. Mark Grechanik

Graduate Teaching Assistant - Object Oriented Languages and Environments - UIC (Spring 2020)

Teaching Assistant for Graduate course CS 474 under Prof. Mark Grechanik

Software Engineer Intern - Molex (May 2019 - August 2019)

Worked on backend systems handling high-volume sensor data from manufacturing plants. Built a configuration management microservice backed by AWS S3 to streamline ETL processes and reduce backend failures. Implemented version control for config files, reducing manual effort and improving reliability.

Software Development Engineer 1 - Ola cabs, Bangalore, India (July 2017 - August 2018)

Led development of "Hotspot and Pickup Point" features to enhance rider experience. Introduced Redis-based rate limiting in high-throughput services, reducing latency during peak traffic.

Software Engineer Intern - Delta X, Bangalore, India (January 2017 - May 2017)

Contributed to ad campaign integration features on DeltaX’s advertisement aggregation platform.

Projects

REST-Based Chess Engine

Chess engine exposed via REST APIs with autonomous multi-instance play.

Project Demo Chess Engine

Enhanced an open-source Java chess engine to support HTTP-based gameplay with session management and MongoDB persistence. Dockerized and deployed on AWS EC2. Enabled concurrent multi-opponent games via API.

Star on GitHub

Automated Timetable Planner & Results Analyzer

Saved 300+ man-hours by streamlining timetable generation and result analysis.

Developed a timetable planning algorithm and analyzer that assists the CS department every semester. Engineered using Java, Python, web scraping techniques, and MongoDB. Designed MySQL schemas and automated the end-to-end workflow.

Author Publication & Co-Authorship Extraction

Analyzed DBLP dataset using Hadoop MapReduce to extract author relationships.

Project Demo Authors Project

Implemented multiple MapReduce jobs to compute statistics about authors and publications. Enhanced XML utility to process large datasets in a single pass, improving execution by 30 minutes. Won hackathon for innovation.

Star on GitHub

PageRank in Apache Spark

Computed influence of authors and venues in DBLP using Spark-based PageRank.

Project Demo PageRank Spark

Used Spark to parse DBLP XML, generate co-author/venue graphs, and iteratively rank nodes using PageRank with a damping factor of 0.15. Built custom XMLInputFormat for HDFS-based processing.

Star on GitHub

Aspect-Based Sentiment Analysis

Performed sentiment classification on product reviews using machine learning.

Tokenized product reviews and transformed them into TF-IDF vectors. Applied Naïve Bayes, Decision Tree, and Random Forest classifiers to perform aspect-based sentiment analysis and evaluate product quality insights.

My GitHub