Hi!! I'm Jayraj Pamnani
Data Science/AI Enthusiast
About Me
I'm Jayraj, a Computer Engineering student who loves working with Machine Learning and building software. I create smart computer programs that use both good coding and AI technology.
I've built and launched apps that use advanced AI tools like language models, image recognition, and data processing. I focus on taking information and turning it into useful AI solutions that actually work. I can build both the AI brain and the computer system that runs it. I keep learning about how good software and AI can work together to build smarter systems.
Also, a quick personal note: you'll notice some eagle themes around this site. That's because the eagle is my favorite bird. When it starts getting older and weaker, it goes to a mountain, breaks its own beak, pulls out its feathers, and patiently rebuilds itself—stronger than ever. That really stuck with me. It reminds me that sometimes, we have to make tough choices and go through discomfort if we want to grow and reach new heights.
Skills
- Machine Learning & AI: RAG, VLMs, LLMs, LangChain, Scikit-learn, TensorFlow, Keras, PyTorch, Coqui TTS/STT, OpenAI Whisper, Random Forest, Decision Trees, Clustering, Regression, NLP (Sentiment Analysis, Text Classification), Deep Learning, Computer Vision
- LLMs: Gemini-flash-2.0, Phi-2, CodeLlama-7B, Mistral-7B, Llama2, Zephyr, CodeGen, BERT, CodeGemma
- Big Data & Databases: Hadoop, Apache Spark, Hive, BigQuery, PostgreSQL, MongoDB, SQL, Oracle Data Modeler, MySQL
- Programming Languages: Python, R, Java, JavaScript, C++, SQL, MATLAB, TypeScript, Bash
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, SciPy, Tableau, R (data wrangling, visualization, statistical analysis), PowerBI, Excel, SAS
- Platforms: VSCode, Github, Ollama, HuggingFace, AWS, Google Cloud, Kubernetes, Docker, Azure, Google AI Studio, N8n
Professional Experience
Swaroop.ai - AI Intern
- I collaborated on developing Text-to-Speech (TTS) models using Coqui TTS, an open-source toolkit supporting over 1,100 languages with real-time streaming synthesis.
- I also worked on Speech-to-Text (STT) models leveraging Coqui STT, a battle-tested deep-learning toolkit for training and deploying robust ASR systems across research and production environments.
- Additionally, I implemented OpenAI Whisper, a transformer-based ASR system to achieve accurate, noise-resilient transcriptions and multilingual speech translation. Through these projects, I gained hands-on experience in end-to-end model development, from data preprocessing and model training to evaluation and production deployment.
Robotskull - Data Scientist Intern
- Streamlined vendor and product sales data from diverse sources (orders, inventory, customer requests), converting raw logs into structured datasets.
- Analyzed trends in demand across robotics components such as Raspberry Pi, Arduino boards, sensors, motors and identified key seasonal and product-specific insights.
- Built regression and classification models (e.g., forecasting monthly orders, detecting likely restock items) using Python, Pandas, and scikit-learn.
- Visualization and reporting: Created dashboards and visual summaries that helped the procurement team prioritize high-demand SKUs and optimize inventory.
Freelance Software Developer
- Developed and deployed a custom web application for a Canada-based client to automate PDF data extraction and integration with KatanaMRP, an inventory management system.
- Built a Flask-based web interface and Python backend that uses the pdfplumber library to parse and extract structured data from uploaded PDFs into JSON format.
- Implemented multiple client-specified verification checkpoints to ensure accuracy and data integrity before syncing to KatanaMRP via API. Deployed the application securely on an AWS EC2 instance, ensuring reliability and availability.
Parul University - Teaching Assistant
- Assisted in teaching core concepts of operating systems including process management, memory management, file systems, and synchronization.
- Conducted weekly lab sessions, clarified student doubts, graded assignments and projects, and supported students in understanding Linux system programming and multithreading using C.
Education
New York University
Master's in Computer Engineering | New York, NY | Expected May 2026
Relevant Coursework: Machine Learning, Principles of Database Systems, Applied Matrix Theory, Real Time Embedded Systems, Big Data and Computing Systems & Architecture
Parul University
Bachelor's in Computer Science & Engineering with Specialization in AI | Vadodara, India | May 2024
Relevant Coursework: Data Structures & Algorithms, Machine Learning, Deep Learning with NLP, Pattern Recognition, Image Processing, GPU Computing, Data Visualization and Data Analytics
Certifications
- Deep Learning Specialization by Andrew Ng (5 Course Series) — Neural Networks, Hyperparameter Tuning, CNN, RNN (3 months)
- Google Data Analytics Professional Certificate (8 Course Series) — Data Cleaning, Visualization, Statistical Analysis (2 months)
- Microsoft Azure AI Fundamentals — AI Services, Machine Learning, Cognitive Services, Computer Vision, Natural Language Processing, Conversational AI (1 month)
- Microsoft Security, Compliance, and Identity Fundamentals — Azure Active Directory, Identity Protection, Security Center, Compliance Manager, Information Protection, Threat Protection (1 month)
- Microsoft Azure Data Fundamentals — Azure SQL Database, Cosmos DB, Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics (1 month)
- Microsoft Power Platform Fundamentals — Power BI, Power Apps, Power Automate, Power Virtual Agents, Dataverse, Business Process Automation (1 month)