Explore my portfolio featuring projects in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Generative AI, Agent AI, MLOps, and more. Discover how I leverage cutting-edge technologies to deliver business-driven solutions.
I am Hamesh Raj 👨💻, a PEC Registered Engineer and Data Scientist with 2+ years of experience in developing AI-powered and data-driven applications. I specialize in LLMs, Chatbots, Data Science Workflows, Computer Vision, and Deployment Engineering.
I bring a strong background in AI, data science, and automation, backed by industry-recognized certifications:
- Google AI Essentials (2025) – Coursera Link | Credly Link
- Top Performer C1 PEC Generative AI Training Cohort 1 – Credential
- Essential Generative AI Training – Pak Angels, San Jose, California, USA – Credential
- Advanced Digital Skills in Data Science (ML & DL) – UNDP Pakistan – Credential
- Machine Learning, AI & Data Science – eHunar.org – Credential
- Six Months AI and Data Science Mentorship – Codanics – Credential
- Advanced Certification in Data Science with AI – Ashraf Chaudhry Associates – Credential
- Python Ka Chilla (40 Days Python for Data Science) – Codanics – Credential
With a Master’s degree in Economics and a Bachelor’s degree in Software Engineering, I combine strong analytical skills with technical expertise to deliver innovative solutions. Proficient in Python, Pandas, Matplotlib, Numpy, Seaborn, Dash, Plotly, TensorFlow, OpenCV, NLTK, Bokeh, PyTorch, Keras, Scipy and Scikit-learn, I transform data into actionable insights, empowering businesses to achieve their strategic goals.
- Chatbots 🤖: Building intelligent chatbots for customer interaction and automation.
- Agent AI Systems 🛠️: Deploying multi-agent systems to handle complex workflows and dynamic problem-solving.
- Text Generation ✍️: Crafting human-like text for content creation using generative models.
- Image Generation 🖼️: Producing high-quality visual assets from text descriptions.
- Music & Art Generation 🎵🎨: Creating unique digital content using cutting-edge generative techniques.
- Predictive Analytics 🔮: Forecasting trends and outcomes using historical data.
- Classification & Regression 📊: Categorizing data and predicting continuous values.
- Recommendation Systems 🛍️: Providing personalized suggestions based on user preferences.
- Neural Networks 🤖: Designing and training deep neural networks for various use cases.
- Computer Vision 🖼️: Implementing models for object detection, segmentation, and recognition.
- Natural Language Processing (NLP) 📚: Using deep learning for text classification, sentiment analysis, and more.
- Model Deployment 🚀: Deploying machine learning models using Docker, Kubernetes, and CI/CD Pipelines.
- Pipeline Automation 🔧: Automating data preprocessing, model training, and deployment workflows.
- Scalable AI Solutions 📡: Implementing distributed systems for large-scale machine learning models.
- Optimization & Monitoring 📉: Fine-tuning model inference, logging, and performance monitoring using MLflow and Prometheus.
- AWS Solutions 🛠️: Deploying scalable AI/ML models on Amazon Web Services.
- Google Cloud AI 🌥️: Utilizing Vertex AI, BigQuery, and Google Cloud Functions for end-to-end AI pipelines.
- Azure AI ☁️: Leveraging Microsoft Azure for deep learning model training and deployment.
🔹 Artificial Intelligence & Generative AI: ChatGPT, Claude, Gemini, LLaMA, Stable Diffusion, OpenAI, Google AI, Hugging Face Transformers
🔹 Data Science: Exploratory Data Analysis (EDA), Feature Engineering, Data Wrangling, Cleaning, Preprocessing, Statistical Analysis
🔹 Machine Learning: Regression, Classification, Ensemble Methods, Time Series Forecasting, AutoML, Explainable AI (XAI)
🔹 Deep Learning: CNNs, RNNs, LSTMs, Attention Mechanisms, GANs, Neural Networks for Vision/NLP
🔹 Natural Language Processing (NLP): Tokenization, Summarization, NER, Text Classification, Sentiment Analysis, LangChain, RAG Systems
🔹 Computer Vision: Object Detection, Image Classification, Facial Recognition, OCR, YOLOv5/v8, OpenCV
🔹 MLOps & AI Deployment: Model Monitoring, Docker, Kubernetes, MLflow, ONNX, CI/CD, FastAPI, Streamlit, Gradio
🔹 Visualization & BI: Plotly, Power BI, Tableau, Dash, Seaborn, Matplotlib
🔹 APIs & Web Apps: Flask, Django, Streamlit, FastAPI, RESTful APIs
🔹 Cloud Platforms: AWS, Google Cloud (GCP), Azure, Vertex AI, Cloud Run, Firebase
Languages: Python, SQL, Bash, Markdown, JavaScript
Data Handling: Pandas, Numpy, Dask, Polars, Openpyxl
ML Frameworks: Scikit-learn, XGBoost, LightGBM, CatBoost, Auto-sklearn
DL Frameworks: PyTorch, TensorFlow, Keras, Fastai, ONNX
NLP: Hugging Face, spaCy, NLTK, T5, BERT, GPT-2/3/4, LangChain
Computer Vision: OpenCV, PIL, scikit-image, face_recognition, Dlib, MediaPipe
Visualization: Matplotlib, Seaborn, Plotly, Dash, Bokeh, Tableau, Power BI
MLOps Tools: Docker, Kubernetes, MLflow, DVC, Weights & Biases, Prefect
Databases: SQLite, PostgreSQL, MySQL, MongoDB, Firebase, Redis
Cloud & DevOps: AWS (S3, Lambda, EC2), Google Cloud, Azure, GCP Vertex AI
Others: Git, GitHub, Jupyter, VS Code, Streamlit Cloud, Hugging Face Spaces
- Data Analytics & Business Intelligence 📊
- Machine Learning & AI Development 🤖
- Generative AI & Agent AI 🧩
- Deep Learning & NLP 🧠
- MLOps & AI Deployment ⚙️
- Predictive Analytics & Statistical Analysis 📉
- Containerization with Docker & Kubernetes 📦
- Cloud Platforms (AWS, GCP, Azure) ☁️
- AI Chatbots & Generative Solutions 🤖
I am committed to utilising my analytical skills and technical expertise to drive business growth and innovation. Let's connect to explore how we can leverage data and AI to transform your business operations and achieve your strategic goals.
✅ Startups | ✅ Organizations | ✅ Remote Projects | ✅ AI R&D | ✅ Mentorship for FYP