

AI-driven Computer Science graduate with expertise in Python, machine learning, and generative AI. Skilled in integrating APIs, and optimizing workflows using Agile methodologies. Proven track record of delivering impactful solutions, including a 20% productivity boost through platform customization, 30% system downtime reduction via proactive enhancements, and improving onboarding efficiency by 25% through effective training. Passionate about leveraging generative AI in business intelligence, and developing innovative AI-driven solutions for real-world challenges.
Programming Languages: Python, Java, JavaScript, Nodejs (Beginner), C, C#, Haskell (Beginner), SQL, HTML/CSS, Bash (Beginner)
ML & AI Frameworks: Scikit-learn, TensorFlow, PyTorch, OpenAI API (GPT-3/4 integration, DALLE), Backtrader
Generative AI: Prompt engineering for text generation, fine-tuning GPT models, Stable Diffusion (exploratory)
Data Science & NLP Tools: Pandas, NumPy, Matplotlib, Seaborn, NetworkX, NLTK, SpaCy, VADER, Gensim (LDA), TfidfVectorizer, CountVectorizer, Word Cloud
DevOps Tools: Git, Azure DevOps
Cloud & Platforms: Azure (DevOps, Hosting), AWS (Beginner)
Dev Tools: Visual Studio Code, Jupyter Notebooks, Curl, JSON, Tortoise Git
Databases: Azure SQL, MySQL, SQL Server, SSMS, SSIS
Methodologies: Agile (Scrum, Kanban), Waterfall, Change Request Management, Unit Testing, Code Reviews, Post-Deployment Monitoring
Collaboration: Coordinated cross-functional teams for seamless system go-lives, achieving 100% on-time delivery
Problem-Solving: Reduced system downtime by 30% through proactive debugging and optimization
Communication: Delivered distributor training, improving onboarding efficiency by 25%
Adaptability: Rapidly learned Python basics to support API integration tasks