Master's student at Northeastern University Boston (CS), previously CS undergrad at IIT Bhubaneswar and SWE-1 at MAQ Software (Microsoft client work on CEHub).
My focus right now is systems programming - low-latency C++, performance-critical software, the kind of problems where nanoseconds matter. Long-term target is HFT/trading infrastructure. I'm also interested in ML/CV for medical imaging on the side.
Looking for SWE internships (Summer/Fall 2026 - Spring 2027) - systems, low-latency, or ML roles. If you have leads, suggestions, or just want to talk, hit me up!
📫 vejandla.03@gmail.com | LinkedIn
⚡ she/her
Primary: C++17, CMake, Linux, Google Benchmark, Google Test
Also: Python, PyTorch, Java, JavaScript/TypeScript, Node.js, React, MongoDB
High-Performance Matching Engine - C++17
Limit Order Book and matching engine mirroring real HFT architecture. O(1) order
cancellation via doubly linked list with direct node pointers, memory pool eliminating
heap allocation in the hot path. Benchmarked at 2.88M matches/second using Google
Benchmark on Linux. 8 GTest cases covering matching, partial fills, and cancellation
edge cases.
Intracranial Aneurysm Detection - Python · PyTorch
Deep learning pipeline for aneurysm detection from CT Angiography on the RSNA 2025
dataset (1,808 patients). EfficientNet-B3 with two-phase training, focal loss, and
Grad-CAM interpretability. Achieved 0.6958 AUROC. Ran on a single RTX 5060 (8GB).
Video-based Classification, Counting and Speed Estimation for Indian Vehicles Dataset - Python · OpenCV · YOLOv8
B.Tech thesis at IIT Bhubaneswar. Addresses the failure of standard MOT models (trained
on COCO) for Indian road conditions - vehicles differ significantly from Western datasets,
degrading ITS performance. Thesis report available on request.
Calendar Application - Java
Multi-calendar scheduling app with GUI, CLI, and headless modes. Recurring events,
timezone support, cross-calendar operations. MVC + Strategy + Observer patterns.
95% branch coverage, 97% mutation score, 600+ JUnit tests.
Kambaz LMS - Node.js · React · MongoDB
Full-stack Canvas-like learning management system - auth, enrollments, course management.
Built solo.
Outside of code: sketching, music, mystery novels, crime/medicine series - and I'm a die-hard Detective Conan fan (iykyk). Ask me anything, genuinely.