Open to opportunities

Anjana Ann James

M.Tech candidate in AI & Data Science building intelligent, data-driven solutions for enterprise operations. Bridging the gap between research and real-world impact.

About me

AI Engineer & Data Scientist

I'm an M.Tech candidate in Artificial Intelligence and Data Science at Vellore Institute of Technology, Bhopal, currently maintaining a GPA of 8.43. With over 4 years of professional experience at Capgemini, I've built and deployed data-driven solutions that directly improve enterprise operations at scale.

My work spans the full spectrum of modern AI — from computer vision and weakly supervised learning to Retrieval-Augmented Generation and LLM-powered applications. I have a deep appreciation for explainability in AI, ensuring that models are not just accurate but interpretable and trustworthy.

I presented my recent research at CI2A 2026 on brain tumor detection using weak supervision — a domain where every percentage point of accuracy has real clinical stakes. I thrive at the intersection of rigorous research and practical deployment.

I collaborate fluently with cross-functional teams, translating complex analytical insights into actionable outcomes for both technical and non-technical stakeholders.

After years of working at the edge of enterprise operations and data analytics, AI is not just a career pivot for me — it is a calling. I love the way AI lets you turn raw, messy data into something that genuinely helps people, and I am committed to building systems that are as trustworthy as they are powerful.
Microsoft · 2025GitHub Copilot (GH-300)
Oracle · 2025OCI Generative AI Professional
Oracle · 2025AI Vector Search Professional
Kaggle & Google · 20255-Day Intensive Gen AI
Microsoft · 2024Azure AI Fundamentals (AI-900)
Oracle · 2024OCI AI Foundations Associate
Microsoft · 2022Azure Fundamentals (AZ-900)
Experience

Professional history

🏆

Employee of the Month — twice. Recognised at Capgemini for exceptional service delivery and measurable process improvements.

Associate Consultant
Capgemini India
Oct 2021 – Present
Projects

Projects

Computer Vision · Medical AI

Glioblastoma Brain Tumor Detection via Weak Supervision

Developed computer vision models for MRI-based brain tumor localization using weak supervision, combining multiple attention signals to generate spatial priors with limited annotations.

mAP@0.5: 0.959 · mAP@0.5–0.95: 0.632
Introduced CAM-guided loss weighting and selective generative augmentation for severe class imbalance.
YOLOv8EfficientNetVision TransformersGrad-CAM++PyTorch
📄 Presented at CI2A 2026
MLOps · Cloud

Scalable AI Workload Orchestration System

Built and deployed an end-to-end ML inference system using FastAPI, containerized with Docker, and orchestrated on Kubernetes. Deployed on AWS EKS with LoadBalancer exposure for real-time API access.

Horizontal pod autoscaling (HPA) and resource management for scalable, efficient inference handling across local and cloud environments.
FastAPIDockerKubernetesAWS EKSREST APIs
Explainable AI · RAG

XAI Sleep Health Assessment System

AI-assisted analytical system combining ML predictions with Retrieval-Augmented Generation for explainable health insights. Integrated LLM APIs and structured data to generate evidence-backed recommendations.

Interactive Gradio application presenting predictions, confidence scores, and FAISS-powered supporting evidence to end users.
Random ForestSHAPFAISSRAGPhi-3 MiniGradio
Machine Learning · Healthcare

Parkinson's Disease Prediction — ML Ensemble

Built a full machine learning pipeline analyzing structured healthcare data for Parkinson's prediction. Applied multiple classification algorithms with feature engineering and comparative model evaluation.

Evaluated Logistic Regression, Decision Trees, Random Forest, XGBoost, and LightGBM; generated analytical reports highlighting model effectiveness.
PythonScikit-learnXGBoostLightGBMPandas
Technical skills

Toolkit

Programming
PythonPandasNumPyScikit-learnSQLBash
ML & Deep Learning
Weakly Supervised LearningEnsemble LearningEfficientNetYOLOv8Vision Transformers
Generative AI
LLMsRAGVector SearchPrompt EngineeringFAISS
Explainable AI
SHAPGrad-CAM++LayerCAMXAITrustworthy AI
MLOps & Cloud
DockerKubernetesREST APIsAWS EKSAzureHPA
Tools & Platforms
Power BITableauServiceNowGit / GitHubGradioLinux/UnixExcel
Education

Academic background

M.Tech — Artificial Intelligence & Data Science
Vellore Institute of Technology, Bhopal
Expected Graduation: 2027
GPA: 8.43
B.Tech — Computer Science & Engineering
Amal Jyothi College of Engineering (Autonomous), Kerala
Graduated: 2021
CGPA: 7.36
Class 12th
Indian School Muscat, Oman
Graduated: 2017
Percentage: 72.2 %
Get in touch

Let's build something intelligent together.

Open to full-time AI/ML roles, research collaborations, and interesting problems worth solving.

📍 Kerala, India