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C++ Reinforcement Learning

Location:
Stony Brook, NY
Salary:
$100000
Posted:
June 11, 2025

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Resume:

OJAS NATU

+1-631-***-**** *****@**.**********.*** linkedin.com/in/ojas-natu github.com/pksdmsyi EDUCATION

Stony Brook University New York, USA

Master of Science in Computer Science, GPA - 3.97/4 Aug 2023 - May 2025 Courses: Computer Vision, Reinforcement Learning, Operating Systems, Storage Systems, Quantum Computing University of Pune Pune, India

Bachelor of Technology in Computer Engineering, GPA - 9.49/10 Aug 2018 - May 2022 Courses: Algorithms, Databases, Data Structures, Networks, Security, Object Oriented Programming, Compiler Design SKILLS

C++, Python, Java, C, MATLAB, Octave, Rust, JavaScript, HTML5, CSS3, Spring, Spring Boot, Flask, GTest, Spark, React, SQL (MySQL), NoSQL (Firebase, MongoDB), OpenCV, Numpy, Matplotlib, Pandas, Pytorch, Tensorflow, NLTK, SciKit-Learn, Keras, FiQuS, Steam, Git, Linux, Jenkins, Jira, Docker, Azure, Bash, REST, COMSOL, PicoScope, Qiskit EXPERIENCE

Research Intern Sep 2024 - Mar 2025

Center for Integrated Electric Energy Systems (CIEES) Stony Brook, New York

• Modeled superconducting quench dynamics using open-source Python version of STEAM-FiQuS, integrating 3D custom CAD geometry, Gmsh for high-fidelity meshing, and GetDP for transient thermal-electromagnetic FEA. Research Project Assistant Jan 2024 - Jan 2025

Reliable Systems Lab, Design & Analysis Research Lab Stony Brook, New York

• Designed Adaptive-Horizon Model Predictive Control over Markov Decision Processes for drone-swarm systems, achieving scalable, resilient, and fault-tolerant control for optimized trajectories and provable convergence.

• Trained and evaluated neural network and reinforcement learning based controllers against AMPC to assess policy robustness and generalization under stochastic and adversary-driven dynamics.

• Crafted parallel Linux CPU/GPU simulation pipeline (6 speedup) & auto regression testing system in MATLAB, C, and Python; improved system reliability & cut manual verification by 80%+ via statistical model checking. Associate Engineer Feb 2022 - May 2023

Oneirix Laboratories Pvt. Ltd. Pune, India

• Night Vision Vehicle Tracking System:

- Tackled poor visibility in night-time surveillance by building a vehicle tracking system in C++/OpenCV; used histogram-based background subtraction and message passing to accurately detect motion in low-light video feeds.

- Enhanced detection robustness under glare and reflections by integrating Weber contrast descriptors and HSV-based light detection; achieved reliable foreground extraction without requiring pre-trained models.

- Completed SiamFC and RGB-Thermal tracking pipelines, improving tracking accuracy by approximately 25% through cross-modal fusion in thermal-RGB datasets.

• Automated book scanning system:

- Formulated a MATLAB-based system using for automated page turn detection, alignment, segmentation, and warp correction, enabling conversion of video streams to flattened PDFs at 10 pages/min. Associate Software Engineer Jun 2021 - Dec 2021

IDeaS - A SAS Company Pune, India

• Developed optimized, reliable, and scalable code in Java over a Jenkins CI/CD pipeline integrating Vaadin, REST APIs, and Spring frameworks; improving system efficiency and supporting seamless client interactions. PROJECTS

Schedulox: Scheduling in Octox (Link) Rust Feb 2024 - May 2024

• Engineered priority-based scheduling (Arrival Order, Runtime Priority, Heuristic based CFS-like) in Octox, a Unix-like OS in Rust inspired by xv6-riscv, to improve fairness and efficiency of existing system.

• Measured performance improvement of 34% over default RR scheduler with hackbench-based benchmarking. Feature-Based Scene Reconstruction and Neural Segmentation Python, OpenCV Oct 2023 - Dec 2023

• Implemented a complete SIFT-based multi-image stitching pipeline with affine transformations, RANSAC, and alpha, laplacian pyramid blending; produced seamless 3-view panoramas with minimal alignment artifacts.

• Trained UNet and fine-tuned Detection Transformer (DETR) for object segmentation and centroid detection, achieving 50%+ mean average precision on custom constructed datasets with limited supervision. ACHIEVEMENTS

Academics: Selected for an exclusive 5-week advanced algorithms course, PACT 2017, at Princeton University, NJ. Music: Alankar Purna in Tabla (Master’s equivalent degree in Performing Arts from ABGMV, India). Sports: Winner in Men’s Singles at the 2024 RIAAN Open and IBC Open International Badminton Tournaments, USA.



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