Hi, I'mSaurabh Chidrewar
Software Development Engineer
I develop innovative solutions that drive business growth and user engagement.
Get to know me
A passionate software engineer dedicated to creating impactful digital solutions
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Software Development EngineerFull Stack Developer & Problem Solver
I’m a Software Development Engineer with over 3 years of experience, where I build innovative solutions that accelerate business growth. My expertise spans Python, JavaScript, TypeScript, and Flutter, with a strong foundation in machine learning.
My Expertise
Full Stack Development
Python, Javascript, Typescript, Node.js, React, Next.js, Flutter, C++, Apache Kafka, Apache Spark, Apache Nifi
Database Management
MongoDB, MySQL, PostgreSQL, SQLite
Machine Learning
Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Matplotlib, Seaborn, SciPy
Agile Development
Team collaboration, Testing automation, CI/CD
Work Experience
Building impactful solutions and growing as a software engineer
Software Development Engineer - 1
Source.One
Architecting and developing scalable systems that power core business operations. Building distributed web and mobile platforms using Python, Node.js, React, and Flutter, with a focus on backend performance, reliability, and intelligent automation through machine learning.
increase in monthly order volume
reduction in API response latency
improvement in system uptime and support efficiency
Key Achievements
- Designed and developed a production-grade mobile application enabling polymer traders to transact online — scaling to 10k+ active users and contributing to a 23% increase in monthly order volume.
- Architected and optimized API infrastructure using Node.js and Redis caching, achieving a 20% reduction in average response latency and improving backend throughput under high concurrency.
- Built an internal ticketing and workflow automation system integrated with Grafana metrics and alerting pipelines; introduced autocut-based monitoring to proactively identify latency spikes, improving system uptime by 40%.
- Developed and deployed a machine learning model using Python’s HistGradientBoostingRegressor to forecast logistics expenses, integrating Recency Weighting and achieving ~92% prediction accuracy on historical data.
- Implemented an automated acceptance testing suite using Pytest and CI pipelines, reducing regression cycles by 35% and improving release confidence.
- Worked across product, design, and infrastructure teams in an agile setup, driving 0→1 launches and optimizing release cadence.
Technologies Used:
Software Development Engineer Intern
Source.One
Contributed to the development of internal mobility and tracking solutions using Flutter, Node.js, and MongoDB. Focused on building performant, data-synced mobile app that enhanced operational visibility for on-field teams.
reduction in query latency
end-to-end ownership of mobile app module
Key Achievements
- Developed and deployed a Flutter-based application to track and monitor on-field employees, integrating GPS-based location tracking and real-time visit logs.
- Designed REST APIs and MongoDB schemas to support seamless two-way sync between mobile and backend systems, ensuring data consistency across platforms.
- Implemented a custom search and caching mechanism for potential client lookup, reducing query latency by over 15%.
- Collaborated closely with the product and backend teams to define API contracts, ensuring smooth data flow and minimal sync conflicts.
Technologies Used:
Summer Intern
Siemens
Contributed to improving the usability of Siemens Teamcenter (Product Lifecycle Management software) by designing and implementing guided navigation features using ReactJS. Focused on enhancing user efficiency and discoverability across complex workflows.
improvement in feature discoverability and task completion efficiency
Key Achievements
- Redesigned the navigation architecture for Teamcenter, enabling users to seamlessly traverse multi-level PLM workflows with contextual guidance.
- Developed an interactive guided navigation module using ReactJS and ReactTour to simplify user onboarding and reduce task completion time.
- Optimized search and navigation flows, improving feature discoverability and user efficiency by over 20%.
- Collaborated with UX and backend teams to align UI behavior with Teamcenter’s data models and improve component reusability.
Technologies Used:
Education
My academic journey and achievements
Bachelor of Engineering
Electronics and Telecommunication
Key Achievements
- •Graduated with a CGPA of 9.3/10, ranked among the top performers in the department.
- •Served as Media and Outreach Lead for the CodeChef PICT Chapter, driving 4x growth in coding event participation through strategic initiatives.
- •Qualified and participated in the ACM-ICPC Regional Round, solving advanced algorithmic and optimization problems under timed constraints.
- •Conducted multiple Special Interest Groups (SIGs) on Python and data structures, mentoring over 200 students and fostering peer-led learning.
Skills & Technologies
A comprehensive toolkit of technologies and frameworks I work with
Programming Languages
Frontend Development
Backend Development
Databases
Cloud & DevOps
Data Engineering & ML
Tools & Technologies
Featured Projects
A showcase of impactful projects that demonstrate my technical expertise and problem-solving abilities
PICT Cafeteria Billing System
Built a web-based billing system using React to automate receipt generation and track daily cafeteria sales. The application allows itemized billing, sales analytics, and food frequency analysis to simplify day-end reporting for the cafeteria owner.
Key Features
- •Real-time billing and dynamic receipt generation.
- •Sales analytics dashboard for daily and item-wise reports.
- •Food item frequency and trend visualization.
Tech Stack
Polymers Trading Platform
Developed an application enabling traders to purchase polymers online at Source.One. This platform significantly increased the daily active customer base and optimized backend performance.
Key Features
- •Online polymer trading platform
- •Optimized API routes for better performance
- •MongoDB query optimization
Tech Stack
Employee Tracking Mobile App
Developed a mobile application using Flutter to track and monitor on-field employees, locations, and industry visits. Integrated with company database for seamless syncing of employee notes and updates.
Key Features
- •Real-time employee location tracking
- •Industry visit monitoring
- •Seamless database integration
Tech Stack
Awards & Achievements
Celebrating milestones and excellence throughout my professional journey
AI Impact Award
Employee of the Year 2025
Received the AI Impact Award for developing a machine learning solution that automated logistics cost prediction between routes, significantly reducing manual effort and improving operational efficiency
Growth Catalyst Award
Category - Revenue Generation
Received the Growth Catalyst Award for exceptional performance in driving revenue growth and business impact through strategic project campaigns.
Outstanding Contributor Award
Employee of the Year 2025
Received the Outstanding Contributor Award, equivalent to the Employee of the Year 2025, for exceptional performance and impact at Source.One.
Best Youngster Award
Best Performer – Q1 2024
Honored with the Best Youngster Award and Best Performer – Q1 2024 for leadership potential and consistent delivery at Source.One.
ACM-ICPC Regional Round
Competitive Programming
Competed in ACM-ICPC Pune-Gwalior Regional Round and secured Rank 251, demonstrating strong problem-solving and algorithmic skills.
Codechef September Starters
Coding Competition
Secured rank of 73/8048 in Codechef September Starters 2021, showcasing exceptional coding and problem-solving abilities.
Get In Touch
Have a project in mind or just want to chat? I'd love to hear from you. Let's create something amazing together!
Let's start a conversation
I'm always excited to discuss new opportunities, creative projects, or just have a chat about technology and development.
Location
Available for remote work
Pune, India
Response time
Usually within 24 hours