I’m a multidisciplinary engineer with expertise in full stack software engineering, data science, and machine learning, with a strong focus on building real-world systems that combine technical robustness with practical value. I work across the stack—from developing APIs and deploying applications to analyzing data and fine-tuning language models. My interests sit at the intersection of intelligent systems, data-driven decision-making, and product-focused development.

You can visit my project section from this link to get an overview: projects.

Python, SQL, JavaScript, Typescript, C++, R — strong foundation in writing clean, modular, and scalable code across scripting, backend, and analytics tasks.

Node.js, Django, Flask, FastAPIs, Express, Postman — for building APIs, backends, and full-stack applications React, Angular, Figma, Material UI, Bootstrap, TailwindCSS — for developing user friendly UI/UX and frontends Git, GitHub Actions — for version control and CI/CD Azure, AWS, MongoDB, MySQl, Postgres - for cloud Infrastructure and database storage

PyTorch, TensorFlow, Hugging Face Transformers, spaCy, NLTK, LangChain, LlamaIndex Fine-tuning LLMs, RAG pipelines, information extraction, ASR systems, and end-to-end ML model deployment

Pandas, NumPy, Scikit-learn, XGBoost — for data wrangling, modeling, and experimentation Matplotlib, Seaborn, Plotly, Tableau — for data visualization and storytelling SQL, Excel, Power BI — for dashboarding and business analytics

Apache Airflow, Apache Spark — for building scalable data workflows and ETL pipelines PostgreSQL, MySQL, SQLite — for relational databases and backend integration Docker, Kubernetes — for containerization and orchestration AWS (EC2, S3, Glue), Azure (ML, Data Factory) — for cloud-native development and deployment

📍 London, United Kingdom
💼 Actively seeking impactful Full Stack and Machine Learning roles

Desire to change the world through tech and innovation and make this planet a better place