# Praharsh Allada > Dell | Oracle | Goldman Sachs |NYU courant | IIT, Madras Location: New York, United States Profile: https://flows.cv/praharsh I’m a passionate and persistent software engineer with a deep love for logic, math, and solving complex problems. My journey in computer science began with a fascination for algorithms and evolved into a broader curiosity about systems, data, and real-world applications. I hold a Master’s in Computer Science from NYU and a Bachelor’s from IIT Madras, where I explored everything from combinatorics to dynamic branching programs under the mentorship of Professor Jayalal Sarma. Professionally, I’ve had the opportunity to contribute across diverse environments—from building tools that improved data accuracy and efficiency at CIFC Asset Management, to enhancing database performance at Oracle, and modeling survival curves for credit risk at Goldman Sachs. I’ve also enjoyed mentoring students as a tutor at NYU, where I helped improve class performance through engaging sessions in algorithms and mathematical techniques. I thrive in environments that challenge me to think critically and build solutions that make a difference. Whether it’s optimizing SQL queries, automating reporting workflows, or debugging database engines, I bring a sincere, proactive, and never-give-up attitude to everything I do. I’m currently seeking full-time SDE opportunities where I can continue learning, growing, and contributing to impactful projects. Let’s connect if you’re working on something exciting—or just want to talk tech, math, or puzzles! ## Work Experience ### Senior Software Engineer @ Dell Technologies Jan 2026 – Present | RTP, North Carolina - Develop and maintain storage datapath software, delivering features aligned to product/customer requirements. - Build tests and triage/debug issues from validation and customer environments, documenting designs and fixes. ### Software Engineer @ MSIT Systems Inc Jan 2025 – Jan 2026 • Owned design and delivery of backup and restore system for multi-node Cassandra clusters -Defined backup strategies supporting full, incremental snapshots with point-in-time recovery -Implemented restore coordination logic to handle partial failures, node restarts, and data consistency -Coordinated system robustness through failure injection, recovery drills, and end-to-end validation • Adapted system for multi-cloud deployment for GCP and AWS while maintaining a shared core architecture ### Software Engineer @ Reality AI Lab Jan 2025 – Jan 2025 Worked as a Software Engineer at Reality AI Inc. ### Software Engineer @ CIFC Asset Management Jan 2024 – Jan 2025 Developed a tool to calculate NAV BACKRUN value, improving accuracy by 15% by enhancing data integration. Enhanced query execution by adapting SQL queries, reducing data processing time by 8 % and eliminating reliance on Excel. Deployed an automated summary generation tool for WSO contract history analysis, cutting down reporting time by 5 hours per week and improving data insights for stakeholders. ### Teacher(tutor) @ New York University Jan 2023 – Jan 2024 I have tutored Fundamental Algorithms for undergraduate students, causing about a 10% increase in class performance. ### Teacher(tutor) @ New York University Jan 2023 – Jan 2024 Tutored Mathematical Techniques for CS Applications for 4 semesters, mentoring over 35 graduate students and facilitating weekly sessions. Achieved a 15% improvement in student performance on average, contributing to better experience. ### Student @ New York University Jan 2022 – Jan 2024 | New York, United States ### Member Of Technical Staff @ Oracle Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India • Explored the SQL engine and other related components of Times Ten Database to understand the working of the product. • Fixed bugs reported by either customers or internal team at the rate of a few a week and based on the severity of the issue. • Working on creating tables from JSON files, incorporating it into the already existing engine without affecting the throughput ### Technical Intern, Securities Division @ Goldman Sachs Jan 2020 – Jan 2020 | Bengaluru, Karnataka, India • Modelled survival curves for all credit ratings by extracting hazard rates & default probabilities from existing survival curves • Explored logistic and polynomial regression over hazard rates and default probabilities for building various models • Extrapolated the regressed values over a range of 50 years, utilizing them for the construction of the survival curves • Identified suitable regression based on the pricing of securities obtained using modeled survival curves for CVA calculations ### Intern, Product Developer team @ Valley Monks Jan 2019 – Jan 2019 | Bengaluru, Karnataka, India • Worked as a team of 5 to build and develop software to handle the backups and restores of any multi-node Cassandra cluster • Developed software capable of taking incremental backups & total backups (all the keyspaces/ only the required keyspaces/ only required tales) as and when required & ensured that restores could be either a complete restore or a ’point in time’ restore • Ensured the software is flexible by making two variants of it; One for each of google and amazon cloud services • Gained hands-on experience in operating and handling a system which is based on a Linux operating system (Ubuntu) ## Education ### Master's degree in Computer Science New York University Jan 2022 – Jan 2024 ### Bachelor's degree in Computer Science Indian Institute of Technology, Madras Jan 2017 – Jan 2021 ### Telangana Board of Intermediate Education in Mathematics Physics and Chemistry Narayana Junior College - India Jan 2015 – Jan 2017 ### Andhra Pradesh Board of secondary education narayana Jan 2011 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/praharsh-allada --- Source: https://flows.cv/praharsh JSON Resume: https://flows.cv/praharsh/resume.json Last updated: 2026-03-20