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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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rishit2003/README.md

Hi 👋, I'm Rishit Mittal

Recent Computer Engineering graduate from Concordia University, focused on software engineering, embedded systems, computer vision, and hardware/software integration.

I build systems that connect real-world devices, backend infrastructure, and applied AI. My experience includes industrial machine vision at Zebra Technologies, self-hosted backend deployment, embedded camera control, computer vision models, and FPGA/VLSI coursework.

What I Work With

Languages: C, C++, Python, Java, Bash, MATLAB/Simulink, VHDL
Backend & Cloud: FastAPI, REST APIs, PostgreSQL, Docker, GitHub Actions, Linux, Nginx, Cloudflare Tunnel
AI & Computer Vision: PyTorch, TensorFlow, OpenCV, YOLO, CNNs, image processing
Embedded & Hardware: ESP32, STM32, Raspberry Pi Pico W, Jetson Nano, Intel RealSense, UART, SPI, I2C, PWM, FPGA, KiCad

Featured Projects

TrackSante - Telemedicine Data Platform
Built and deployed a self-hosted healthcare backend using FastAPI, PostgreSQL, Docker Compose, Authentik, MinIO, Prometheus/Grafana, Nginx, and Cloudflare Tunnel.
Website | Backend

Industrial Camera Trigger System
Engineered a Raspberry Pi Pico W based mixed-signal trigger system for 24V industrial cameras using RS-232, Wi-Fi, power conversion, and signal conditioning.
GitHub

RNA Contact Map Prediction
Built a PyTorch Dilated U-Net for RNA structure prediction, reaching approximately 0.70 F1 on a highly imbalanced Kaggle dataset.
GitHub

32-bit MIPS CPU
Designed a modular 32-bit single-cycle MIPS CPU in VHDL with ALU, register file, memory, control logic, simulation, and FPGA-oriented validation.
GitHub

Detectoma - Skin Cancer Detection Prototype
Built an Android computer vision prototype using Java, ESP32-CAM, Firebase ML, and image preprocessing. Awarded 1st place in Mini Capstone.
GitHub

Experience

Applications Engineering Intern - Zebra Technologies
Worked on industrial machine vision, C++ visual perception software, deep learning OCR, smart camera validation, embedded triggering, hardware test benches, and client-facing debugging.

Leadership

Former Director of Projects and Director of Competitions at IEEE Concordia, where I led and contributed to robotics, IoT, and autonomous systems initiatives.

Contact

LinkedIn | GitHub | Email

Pinned Loading

  1. Detectoma-Skin-Cancer-Detection Detectoma-Skin-Cancer-Detection Public

    Forked from vRizon/Elec390-Coen390

    This project helps in screening mole growth that could potentially be melanoma by combining an Android app, a custom AI model, and ESP32 sensors/camera for capturing lesion data, all stored in Fire…

    Java

  2. TailorCV TailorCV Public

    AI-powered microservices platform for tailoring CVs to job descriptions using semantic search, LLM analysis, and scalable cloud ready architecture.

    Python

  3. RNA-Prediction-CNN RNA-Prediction-CNN Public

    Deep learning RNA contact map prediction using a Dilated U-Net. Applies dense pairwise classification, dilated CNNs, and hybrid BCE–Dice loss to achieve ~0.70 F1 under strict data constraints.

    Jupyter Notebook

  4. Air-Traffic-Monitoring-and-Control-ATC- Air-Traffic-Monitoring-and-Control-ATC- Public

    Air traffic monitoring and control simulation built in C++ for QNX/Raspberry Pi, featuring real-time aircraft tracking, radar-style terminal visualization, separation-rule conflict detection, alarm…

    C++

  5. Peer-to-Peer-Shopping-System Peer-to-Peer-Shopping-System Public

    The Peer-to-Peer Shopping System enables buyers and sellers to connect directly using a server-mediated model with UDP communication and secure TCP transactions, supporting dynamic item searches, n…

    Python

  6. CMOS-Full-Adder-VLSI-Design CMOS-Full-Adder-VLSI-Design Public

    1-bit NAND-based Full Adder in 180nm CMOS with schematic + layout design, DRC/LVS verification, Calibre PEX, and post-layout Spectre simulation.