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Hi, I'm Binu Shefield Shifani 👋

AI/ML Engineer · Full-Stack Developer · Master's Researcher in AI & Automation
📍 Trollhättan, Sweden | 🎓 Högskolan Väst | 🏭 Thesis @ GKN Aerospace


🧠 About Me

I'm an AI/ML engineer with 5+ years of industry experience at Cognizant Technology Solutions, now advancing my expertise through a Master's in AI and Automation at Högskolan Väst, Sweden.

My work bridges cutting-edge AI research and real-world engineering — from building LLM-powered document pipelines and agentic AI systems to currently developing an AI-Based Decision Support System for Laser Powder Directed Energy Deposition (DED) as my Master's thesis at GKN Aerospace.

I'm passionate about applying AI to solve complex, high-impact problems in manufacturing, sustainability, and enterprise automation.


🚀 What I'm Working On

  • 🔬 Master's Thesis @ GKN Aerospace — AI-Based Decision Support System for Laser Powder DED manufacturing, enhancing quality and efficiency through real-time AI insights
  • 🤖 Exploring Agentic AI, LangGraph, and multimodal models for industrial applications
  • 🌊 Semantic Segmentation of marine plastic debris (DeepLabV3 + TensorFlow)

🛠️ Tech Stack

Languages & Frameworks

PythonC#.NETTypeScriptAngularSQL

AI / Machine Learning

PyTorchTensorFlowHuggingFaceLangChainOpenCV

LLMs · RAG · Agentic AI · LangGraph · Transformer Architecture · NLP · OCR · VectorDB · Computer Vision

Cloud & DevOps

AzureDockerGit

Azure ML · Azure Cognitive Services · Azure Functions · Azure Speech SDK · CI/CD · Jupyter

Security

SonarQube · SAST · DAST · Black Duck · Secure SDLC


💼 Professional Experience

🏢 Cognizant Technology Solutions — 5+ Years (2019–2024)

RolePeriod
Associate — AI/ML & Full-StackDec 2022 – Aug 2024
Programmer Analyst — AI/ML & .NETDec 2020 – Nov 2022
Programmer Analyst TraineeJan 2019 – Dec 2020

Key Contributions:

AI / Machine Learning

  • 🌐 Enabled multilingual support using LLMs + Azure Translator, expanding global accessibility
  • 📄 Led AI-driven unstructured text extraction pipelines using OCR + generative AI
  • 🔊 Integrated Azure Speech SDK for voice-based automation workflows
  • 🤖 Automated document handling with UiPath Document Understanding + ML models
  • 🧪 Designed scalable Python-based ML workflows for data processing pipelines, reducing errors and manual intervention
  • 📊 Developed advanced Python algorithms for OCR text reconstruction, boosting data accuracy with generative AI techniques

Backend & Full-Stack Development

  • 🏗️ Architected and maintained C# .NET Windows Services to streamline enterprise automation and eliminate manual operational overhead
  • 🌐 Built full-stack C# + Azure web applications, improving scalability and reliability to meet growing business demands
  • 🖥️ Developed an ASP.NET MVC document management platform, significantly improving usability and document access speed
  • 🔗 Engineered and secured .NET Web APIs, resolving vulnerabilities and ensuring robust third-party integrations
  • 📐 Created responsive Angular + TypeScript front-end modules, delivering seamless user experiences across enterprise applications
  • 🐍 Delivered reusable Python data transformation utilities integrated into .NET backend workflows via REST APIs
  • 🐳 Containerised .NET applications with Docker on Linux, optimising deployment efficiency and resource utilisation
  • 🔒 Implemented SAST/DAST/SonarQube security tooling within enterprise SDLC
  • ⚙️ Built and deployed CI/CD pipelines for .NET projects, increasing deployment frequency and development agility

📂 Featured Projects

Dual-agent defect detection system combining YOLOv11 + RT-DETR-L + TTA and YOLO11m + CLIP for high-accuracy identification of rare fabric defects. Showcases agentic reasoning for industrial quality control.

Built a DeepLabV3 model (Python + TensorFlow) achieving a mean IoU of 0.6111 for marine plastic debris detection. Contributes to ocean sustainability via automated visual analysis.

Full pipeline ML experiments from data preprocessing to model evaluation and deployment.

Coursework and research notebooks covering computer vision, CNNs, and deep learning architectures.


🎓 Education

DegreeInstitutionPeriod
M.Sc. AI & AutomationHögskolan Väst, SwedenSep 2024 – Jun 2026
B.E. Electronics & CommunicationPSNA CET, IndiaAug 2015 – Apr 2019

M.Sc. Coursework: Machine Learning · Deep Learning · Robotics · Big Data · Image Processing · Automation Systems · Cybersecurity


📜 Certifications

  • 🏅 Microsoft AI for Public Sector Upskilling
  • 🏅 Google — Introduction to Large Language Models
  • 🏅 Google — Introduction to Generative AI

🌍 Languages

  • 🇬🇧 English — Fluent
  • 🇸🇪 Swedish — Beginner (actively learning)

"Building intelligent systems that bridge research and real-world impact."

💬 Open to research collaborations, AI/ML opportunities, and conversations about sustainable tech.

Pinned Loading

  1. hole-detection-garmentshole-detection-garmentsPublic

    Industrial AI for detecting 1–2mm holes in garments using YOLOv11m + RT-DETR + MALM-CLIP — built for Wärgon Innovation

    Jupyter Notebook

  2. vision-robot-pick-placevision-robot-pick-placePublic

    Vision-guided robot pick & place — YOLOv11 segmentation + ArUco calibration + ABB RAPID

    Python

  3. furniture-assembly-assistantfurniture-assembly-assistantPublic

    Open-vocabulary part detection + LLM reasoning for context-aware AR assembly instructions — GroundingDINO + Llama 3.2 + Unity JSON output

    Jupyter Notebook

  4. lp-ded-agentic-ai-repair-planninglp-ded-agentic-ai-repair-planningPublic

    Knowledge-based agentic AI decision support for LP-DED aerospace repair planning — LangGraph + ChromaDB + RAG | MS Thesis, GKN Aerospace

  5. Batterytwin-mcpBatterytwin-mcpPublic

    Agentic battery-engineering assistant — a physics-based lithium-ion digital twin (PyBaMM) exposed over MCP and driven by a local LangGraph agent (Ollama). Real electrochemical simulations, not LLM-…

    Python

  6. PrognosticAIPrognosticAIPublic

    Autonomous multi-agent turbofan engine RUL prediction — NASA C-MAPSS · XGBoost · LangGraph

    Python