π Hi, Iβm Abhyudaya B Tharakan, an AI and Software Engineering specialist passionate about leveraging technology to solve real-world challenges. My expertise spans healthcare, education technology, big data, and cutting-edge AI systems. From advanced machine learning models to impactful AI solutions, I aim to make technology more accessible and effective.
- Current Role: Data Scientist and Technology Specialist at The World Bank
- Location: Bengaluru, Karnataka, India
- Focus Areas: AI/ML, Data Science, Healthcare Technology, Education Technology
- Education: IIT Madras (Specialization in AI, Machine Learning, and Data Science)
- Achievements:
- Built AI tools impacting 700K+ students and 66K+ teachers
- Achieved 98% diagnostic accuracy using Vision Transformers for cancer diagnosis
- Delivered AI-driven educational tools with 35% improvement in outcomes
- Recognized among Top 10 Best BDM Projects at IIT Madras
- Python, JavaScript, TypeScript, SQL, Java, Kotlin, Dart, R, C++, Julia, Go, Rust, Shell Scripting
- Web Development: ReactJS, NestJS, FastAPI, Node.js, Django, Flask, Material-UI
- AI/ML: TensorFlow, PyTorch, Scikit-learn, Transformers (BERT, GPT), OpenCV, Reinforcement Learning
- Big Data & Analytics: Apache Spark, Airflow, Kafka, Hadoop, Flink, Dask
- Data Visualization: Power BI, Tableau, D3.js, Matplotlib, Seaborn, Plotly
- Cloud Platforms: AWS (SageMaker, Lambda, EC2), GCP, Azure
- DevOps/MLOps: Docker, Kubernetes, CI/CD, Terraform, Kubeflow
- Leadership & Team Management
- Communication & Stakeholder Engagement
- Critical Thinking & Problem Solving
- Adaptability & Creativity
- Time Management & Prioritization
- Automated OCR and NLP processes to digitize and evaluate lesson plans with 98% accuracy.
- Processed 50K+ documents daily in distributed systems.
- Reduced transcription time by 60% through AI-powered automation.
- Led the development of a diagnostic AI system achieving 92% accuracy in cancer subtype detection.
- Enhanced decision-making via explainable AI (XAI) techniques and advanced reasoning.
- Built a state-of-the-art transformer for multimodal tasks achieving 95% zero-shot accuracy.
- Reduced inference time by 60% and improved performance by 25% using efficient attention mechanisms.
- Developed AI tools for personalized teacher assessments, increasing participation by 45%.
- Scaled the platform to support 100K+ concurrent users with high reliability.
- Top 10 Best BDM Project at IIT Madras
- DPS Bhilai Best Programmer Award
- Achieved 10 CGPA in Machine Learning Projects
I am committed to building AI systems that tackle complex challenges in healthcare, education, and beyond. By combining cutting-edge technology with user-focused design, I aim to create solutions that improve lives, drive efficiency, and empower individuals worldwide.
- Email: [email protected]
- Website: aloves.codes
- LinkedIn: linkedin.com/in/alovestocode
- GitHub: github.com/ALikesToCode
"Transforming technology into solutions that make a difference."