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ALikesToCode/README.md

Abhyudaya B Tharakan

LinkedIn Website Email GitHub

AI Specialist Badge Data Scientist Badge Software Engineer Badge

Data Scientist & AI Specialist


Profile Summary

I am an AI & Software Engineering Specialist experienced in delivering end-to-end ML solutions, big data analytics, and full-stack web development. Passionate about healthcare technology, education technology, and building scalable AI systems that have impacted 700K+ students and 66K+ teachers.


Technical Skills

Programming Languages
  • Python, JavaScript, TypeScript, SQL, Java, Kotlin, Dart, Scala, R, C++, Julia, Go, Rust, Shell Scripting
Web Development
  • ReactJS, Material-UI, HTML, CSS, JavaScript (various frameworks), Redux, NestJS, FastAPI, Node.js, Django, Flask, Express.js, GraphQL, REST APIs, WebSockets
Data Visualization & BI
  • Chart.js, D3.js, Matplotlib, Seaborn, Power BI, Tableau, Plotly, Bokeh, Altair, Streamlit, Dash, Grafana, Kibana
AI/ML Technologies
  • TensorFlow, PyTorch, Scikit-learn, Keras
  • Transformers (BERT, GPT), LSTM, CNNs, RNNs, XGBoost, LightGBM
  • NLTK, spaCy, OpenCV, YOLO, SSD, OCR, Ray, MLflow, DVC, Weights & Biases, AutoML, Reinforcement Learning
ML Algorithms & Techniques
  • Linear/Logistic Regression, SVM, Decision Trees, Random Forest, XGBoost, LightGBM, CatBoost, k-NN, Naive Bayes
  • PCA, t-SNE, ARIMA, Prophet, HMM, Isolation Forest, DBSCAN, Apriori, FP-Growth
  • Deep Learning: CNNs (ResNet, DenseNet), RNNs (LSTM, GRU), Transformers (BERT, GPT, ViT), GANs (CycleGAN, StyleGAN), Autoencoders, Capsule Networks, Neural Turing Machines, Siamese Networks
  • Ensemble: Stacking, Bagging, Boosting (AdaBoost, Gradient Boosting), Bayesian Optimization
  • Reinforcement Learning: Q-Learning, DQN, PPO, A3C, SARSA, Thompson Sampling
Data Engineering & Analytics
  • Pandas, NumPy, Apache Spark, Airflow, Hadoop, Kafka, Flink, PostgreSQL, SQL, MongoDB, Cassandra, Hive, Presto, Snowflake, Redshift, dbt, Delta Lake, Databricks, PySpark, Dask, Polars, Vaex
Cloud & Infrastructure
  • AWS (SageMaker, Bedrock, EC2, S3, Lambda, EMR, Glue, Redshift), GCP (Vertex AI, BigQuery, Dataflow), Azure (Azure ML, Synapse)
  • Docker, Kubernetes, Terraform, Helm, Prometheus, ELK Stack
MLOps & DevOps
  • CI/CD, Git, GitHub Actions, Jenkins, Bitbucket, Agile Methodologies, Kubeflow, Argo CD
  • Model Monitoring, Feature Stores, Model Serving, A/B Testing
Software Development Practices
  • Software Architecture Design, OOP, Design Patterns, Microservices Architecture, API Design
  • Testing (Unit, Integration), Documentation
Mathematics & Statistics
  • Linear Algebra, Probability Theory, Information Theory, Statistics, Time Series Analysis, Optimization, Bayesian Methods, Causal Inference, Experimental Design
Other Skills
  • Project Management, Consulting, Research & Development, AI Ethics, Data Privacy, Technical Writing, Team Leadership, Stakeholder Management

Experience

Data Scientist & Technology Specialist

The World Bank | Oct 2023 – Present | Shimla, HP, India

  • Managed an 8-member cross-functional team to build scalable apps with ReactJS, NestJS, and microservices.
  • Processed 500GB+ data via Airflow/Spark for educational insights; improved OCR/NLP models by 60% efficiency.
  • Automated CI/CD with Jenkins/GitHub Actions, cutting deployment time by 50%.
  • Deployed AI tools (LLMs, RAG, LangChain) impacting over 700K students, 66K teachers.
  • Achieved 40% cost savings with predictive analytics and statistical modeling.

Data Science & Technology Consultant

Independent Consultant | Oct 2023 – Present | Bengaluru, Karnataka, India

  • Provided AI/ML consulting for service and education sectors, reducing client costs by 20%.
  • Built full-stack apps (ReactJS, Material-UI, NestJS, FastAPI) with Agile methodologies.
  • Established robust DevOps with Docker, Kubernetes, Terraform, and Jenkins; reduced production bugs by 90%.

Data Science & Technology Consultant

Akkredit | Oct 2021 – Oct 2023 | Bhilai, Chhattisgarh, India (Hybrid)

  • Aligned technical solutions with client objectives; implemented AI-driven predictive analytics.
  • Built scalable APIs and applications with CI/CD pipelines; advised clients on modern tech strategies.

AI Intern

Steel Authority of India Limited | Jan 2024 – Apr 2024 | Bhilai, Chhattisgarh, India

  • Developed predictive maintenance with ARIMA/SARIMA, Isolation Forest, increasing equipment uptime by 20%.
  • Deployed computer vision with OpenCV/CNNs for defect detection (+15% accuracy).
  • Integrated GPT-4V for industrial record digitization; implemented real-time streaming with Kafka/Spark.

Research Intern

IIT Bhilai | Aug 2023 – Jan 2024 | Bhilai, Chhattisgarh, India

  • Led Project Aurora, improving cancer diagnosis accuracy by 18%.
  • Achieved 92% classification accuracy in cancer subtypes using advanced DL models.
  • Innovated with contrastive reasoning and zero-shot learning; published findings in peer-reviewed journals.

Selected Projects

HomeServe - Home Services Management System

  • Tech: Flask, HTML/CSS/JS, Bootstrap, SQLite, Razorpay, Google Maps
  • Built a platform connecting customers with service professionals; integrated secure payments and geolocation.

Intelligent Learning Platform & Teacher Competency Enhancement

  • Tech: Python, TensorFlow, Graph Neural Networks, ReactJS, FastAPI, PostgreSQL
  • Boosted teacher assessment participation by 45%; reduced training gaps by 30% using AI-driven recommendations.

Aurora: AI-Driven Cancer Diagnosis System

  • Tech: Vision Transformers, PyTorch, CUDA, Distributed Training, XAI
  • Achieved 98% diagnostic accuracy; integrated explainable AI for 95% interpretation accuracy.

Omni: Advanced Multimodal Language Model

  • Tech: PyTorch, Transformers, CUDA, Zero-shot Learning
  • Built SOTA multimodal transformer; 95% zero-shot accuracy, 60% inference time reduction.

Project Veritas: Intelligent Document Processing System

  • Tech: OCR, NLP, TensorFlow, FastAPI, Distributed Systems
  • Automated digitization with 98% accuracy; handled 50K+ documents daily in a distributed setup.

Education

  • Indian Institute of Technology Madras
    Specialization: AI, Machine Learning, and Data Science

  • Delhi Public School, Bhilai
    Senior Secondary (Class XII), Computer Science Focus


Awards & Honors

  • Top 10 Best BDM Project (IIT Madras, 2024): Reduced project delivery time by 25%, improved team efficiency by 15%.
  • 10 CGPA in Machine Learning Projects (2024): Recognized for innovative model development.
  • DPS Bhilai Best Programmer Award (2024): Wrote optimized postfix converter in 10 lines of code.

Soft Skills

  • Communication: Teamwork, Active Listening, Feedback
  • Leadership: Team Management, Decision-Making, Mentoring
  • Problem-Solving: Critical Thinking, Analytical Skills, Collaboration
  • Creativity: Innovation, Out-of-the-box Solutions
  • Adaptability: Flexibility, Learning Agility
  • Work Ethic: Persistence, Reliability, Responsibility
  • Time Management: Prioritization, Efficiency, Meeting Deadlines

"Transforming technology into solutions that make a difference."

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