Hi, I'm SOUMYARANJAN SAHOO
Bridging the gap between Hardware, AI, and FinTech. I build secure, scalable systems and high-precision predictive models.
About Me
Engineering the Future of Data
I am an Engineering Undergraduate (B.Tech in ETC) at VSSUT, Burla (Class of 2027), with a deep passion for FinTech and MedTech.
Currently, I am leveraging Machine Learning approaches in the medical field, focusing on high-precision data processing and anomaly detection (e.g., Melanoma and Pneumonia detection). I am also eager to transfer this rigorous analytical skillset to the financial sector to handle large time-series datasets and optimize secure, scalable digital payment solutions.
Beyond code, I am a Published Book Chapter Author on FPGA hardware acceleration and a Kaggle Expert.
Technical Toolkit
Languages
Python, Java, SQL, Verilog, Dart (Flutter)
AI & ML
TensorFlow, Scikit-Learn, OpenCV, EfficientNet, Transfer Learning, Hugging Face
Hardware
VLSI Design, FPGA (PolarFire SoC, Xilinx), Embedded Systems
Web & Cloud
Flask (Backend), Nginx, IBM Cloud, REST APIs
Experience
Research Intern
Engineered a regression pipeline (Python/Scikit-Learn) to map geometric parameters of Cold Form Steel to structural yield stress, substituting expensive physical lab testing with data-driven predictive models.
Data Analytics Intern
Conducted comprehensive data analysis to evaluate healthcare accessibility trends using Python (Pandas, Matplotlib). Uncovered correlations between income levels and insurance coverage.
AI & Cloud Intern
Architected "Heleophile," a conversational AI chatbot on IBM Cloud to accelerate solar energy adoption. Engineered logic to calculate installation costs and ROI based on real-time data.
Featured Projects
Multimodal Melanoma Detection
A deep learning framework fusing dermoscopic image analysis with patient metadata using EfficientNet-B0. Implemented stratified under-sampling for class imbalance.
Achieved 95.07% Accuracy & 0.98 AUC on SIIM-ISIC dataset.
PneumoScanAI
Advanced CNN architecture for Pneumonia Detection in Chest X-Rays. Engineered an automated pipeline with image normalization and extensive data augmentation (rotation, zoom, flips).
Achieved state-of-the-art accuracy of 97.86% using Adam optimizer.
Udra Finance App
A secure FinTech backend developed with Python Flask and a Flutter frontend. Managed virtual environments and token-based authentication for secure transactions.
Deployed on Kamatera server using Nginx.
Real-Time Face Tracking
Hardware implementation of a visual tracking pipeline on the Microchip PolarFire SoC Video Kit.
Utilized FPGA fabric for hardware acceleration to achieve real-time video processing frame rates.
Honors & Achievements
Book Chapter Author
"Methodologies for Implementing Complex AI Models on FPGA Systems" — FPGA for Next Generation IC Design and Autonomous Systems (Upcoming).
2nd Prize, Student Poster Contest 2025
Organized by the IEEE Solid-State Circuits Society (SSCS), Kolkata Chapter.
Kaggle Expert
Recognized for high-performance kernels and consistent contributions to the Medical Image Analysis community.