Sarthak Rana

MS in Computer Science (CGPA: 3.97/4.00)

August 2023 - May 2025

Relevant Coursework:

• Data Processing at Scale
• Cloud Computing
• Foundation Of Algorithms
• Digital Video Processing
• Data-Intesive Systems for ML
• Applied Cryptography
• Software Validation Verification & Testing
• Software Security
• Information Assurance & Security
• Advanced Computer Network Security

B.Tech. in Computer Science (CGPA: 7.3/10.0)

July 2015 - July 2019

Relevant Coursework:

• Data Structures
• Algorithms and Problem Solving
• Database Management Systems
• Object Oriented Analysis & Design
• Large Scale Database Systems
• Computer Organization and Architecture
• Operating Systems
• Computer Networks
• Theory of Computation
• Artificial Intelligence

Futr Energy

February 2021 - July 2023

Software Development Engineer II

• Developed and maintained 60+ AWS cloud functions handling reporting, analytics, and image processing using Python, AWS, Docker, and MongoDB.
• Led a 2-person team to architect a multi-AZ, fault-tolerant data logger on AWS, increasing solar O&M efficiency by 25% and delivering 99% system uptime.
• Migrated compute-heavy AWS workloads to on-prem servers, saving $1,200/month in EC2 operation costs.
• Revamped proprietary desktop tools with Python and PyQt, automating delivery workflows and cutting project turnaround from 1 day to under 4 hours.
• Refactored MongoDB schemas and query logic, slashing query latency from 120ms to 5ms, boosting SaaS backend response times by 24x.
• Implemented proactive monitoring and real-time alerting with AWS CloudWatch, enabling faster troubleshooting and cutting downtime 85% - from 10 hours/week to under 6 hours/month.
• Collaborated cross-functionally with delivery and QA teams to enhance internal tooling and developer workflows, improving developer experience and efficiency, shortening release cycles by 30%.

Newgen Softwares

February 2019 - October 2020

Software Engineer

• Engineered digitization of ORM and BG modules using Java and SQL, streamlining workflows and improving transaction accuracy, increasing transaction throughput by 25%.
• Redesigned FD/limit creation and refunding functionality workflows by integrating backend services with banking APIs, reducing manual effort by 75% accelerating transaction processing.
• Diagnosed and resolved critical production bugs, ensuring 99.99% uptime SLA and seamless user experience.

CustomerSuccessBox

April 2018 - June 2018

Data Scientist (Intern)

• Utilized data cleaning, feature scaling, and feature engineering techniques to prepare and enhance the dataset for analysis.
• Conducted exploratory data analysis (EDA) and visualized customer data to uncover weekly, monthly, and annual behavior patterns, providing key insights for building a statistical model.
• Designed and deployed a CLTV and health score statistical model using advanced statistical techniques like correlation and regression analysis, uncovering key customer trends and reducing churn by 15%, enhancing retention strategies.

Languages and Databases

Frameworks and Libraries

Tools and Technologies