Bryan Samuel James

Aspiring AI/ML Engineer · Pursuing MSCS @ Northeastern (Fall ’25)

I build data‑to‑decisions systems end‑to‑end — clean data models → reliable pipelines → evaluated ML → simple UIs. Interests: healthcare AI, fintech, and ML platforms.

Contact & Links

• 📧 Personal Email: bryansamjames@gmail.com
• 🔗 LinkedIn: bryan-james-1530891b3
• 🧑‍💻 GitHub: @BryanSJamesDev
• ✍️ Blog: bryanjames.hashnode.dev
• 🧩 LeetCode: bryansamjames

Highlights

• 🧠 RAG + Agents & Summarization: Built assistants on vector search with rule‑based conflict checks; experience with CV utilities (OpenCV/BLIP), model eval (ROC/AUC, BERTScore).
• 🏥 Medical Imaging Research: Multi‑task UNet/Transformer/FiLM pipelines for ultrasound lesion segmentation + classification.
• 🧱 Data Engineering: Snowflake/AWS/dbt/SQL; incremental models, quality checks, and reproducible project structures.
• 🔐 Infra & Security: SAP ABAP customization, Sophos firewall config, network segmentation, monitoring.

TL;DR — I’m strongest where ML meets data systems and teams need someone who can ship reliable features on well‑modeled data.

Education

MSCS, Computer Science — Northeastern University, Boston (Sep 2025 – Dec 2027)

B.Tech., Information Technology — VIT, Vellore (Jul 2021 – May 2025)

Publications & Research

• Mental Health Prediction Using ML & DL — under peer review (Jan 2024 – Present) LSTM + deep learning for early diagnosis from IGD & cyberbullying signals; validated across diverse datasets.
• A Robust Multi‑Task Hybrid Deep Learning Framework for Ultrasound Breast Lesion Segmentation & Classification (UNet, Transformer, FiLM) — ongoing (Sep 2024 – Present) Three multi‑task frameworks (DoubleHeadUNet, Swin‑UNet, Transformer‑FiLM‑UNet) fusing ResNet‑34, Swin‑V2, and clinical‑feature FiLM; reported up to 97.62% accuracy and 98.99% AUC (sens. 96.94%, spec. 98.05%) over 5‑fold CV.

Professional Experience

Software Engineer Intern - Infyz Solutions (Aug 2023 - Jan 2024)

• Developed and tested Java-based ERP modules with comprehensive validation checks and automated reporting, aligning with industry best practices in automation.
• Enhanced backend workflows by debugging and refining processes to improve reliability and performance, demonstrating strong problem-solving skills and computer science fundamentals.
• Authored unit tests and collaborated cross-functionally with quality assurance and product teams to deliver production-ready, robust software solutions.

IT Intern — NBTC Company (Oct – Dec 2023)

• Customized SAP ERP modules with ABAP, automated processes, integrated data sources, and resolved stability issues.
• Deployed Sophos firewalls, designed network segmentation, and set up real‑time monitoring to improve threat detection & incident response.

Selected Projects

• Order Processing System (Python) (Nov 2023 – Present) — Auth, real‑time inventory, automated mailers; admin features for product/user management.
• E‑commerce Shopping App (Java) (Aug – Oct 2023) — Auth, inventory tracking, product management, and sales reporting.
• Restaurant Website (HTML/CSS/Bootstrap/JS + MongoDB) (Jan – Apr 2023) — Interactive UI with forms/updates to boost engagement.
• Expense Tracker for Students (Java) (Sep – Nov 2022) — Budgets with limits and real‑time insights for responsible spending.
• Car Rental Management (Python + MySQL) (Apr – Dec 2021) — Centralized database; reservations & payment tracking.

Hackathons / Achievements

Caterpillar India Hackathon (Aug 9–10, 2024): Voice‑Guided Inspection System Built a voice‑enabled inspection flow: step prompts, dictation, keyword triggers (e.g., OK, broken/high/low/rust), image capture & parameter logging, and final report validation.

Certifications

• Android O & Java — Complete Android Dev Bootcamp (Udemy, 21h)
• The Complete Web Developer (Zero to Mastery, 37h)
• Java Programming Masterclass (Udemy, 10h)
• Machine Learning 401 — ZTM (Udemy, 71h)
• C++ Programming, Beginner → Ultimate (11.5h)
• CS50: Introduction to AI with Python (200h+)

Skills

Languages: Python, R, Java, C++, JavaScript/TypeScript, SQL Databases: MySQL, PostgreSQL, MongoDB, SQLite Web: HTML, CSS, Bootstrap, JavaScript, Node.js, React ML/AI: Data Modeling, Schema Design, Pandas, scikit-learn, TensorFlow, PyTorch (familiar) Data/Infra: Snowflake, dbt, Pandas/Polars, AWS S3, PostgreSQL/SQLite, Docker, GitHub Actions OS: Windows, Linux (Ubuntu) Interests: ML/DL, predictive analytics, healthcare AI, sustainability, web dev

What I’m doing now

• 🎓 Pursuing MSCS @ Northeastern University (Fall ’25)
• 🔍 Exploring multimodal summarization and RAG for domain knowledge
• 🤝 Open to ML/AI and data engineering internships/research roles

GitHub at a glance