Data Engineer & ML Specialist | United Kingdom MSc Data Science — University of Surrey LinkedIn · Medium · pranavakailashsp@gmail.com
I build scalable data pipelines and ML systems end-to-end — from raw data ingestion through model training to production inference. My focus is on data engineering infrastructure that makes ML reliable at scale, with a particular interest in NLP, on-device AI, and applied analytics.
- Data Engineering — ETL pipelines, cloud-native data platforms (AWS / GCP), orchestration with Airflow and Spark
- Machine Learning — Model development, MLOps, and deployment with PyTorch, TensorFlow, and scikit-learn
- NLP & LLMs — Named entity recognition, prompt engineering, on-device AI with Gemini Nano
- Analytics — Statistical modelling, Power BI dashboards, and financial data analysis
Languages
ML & Data
Cloud & DevOps
APIs & Web
Financial Dashboard · Data Engineering / Analytics Real-time financial dashboard tracking NVIDIA (NVDA) stock performance with automated data pipelines, template-based market summaries, and technical analysis indicators.
Prompt Enhancer · Chrome Extension On-device prompt enhancement using Google's Gemini Nano across ChatGPT, Gemini, and Perplexity. 100% local processing — no API keys, no data sent externally, zero latency from network calls.
CyNER 2.0 · NLP / Machine Learning Named Entity Recognition system for cybersecurity text with 94% accuracy. Exposes a REST API for real-time NER inference on threat intelligence data. Live demo on HuggingFace Spaces.
Open to Data Engineering, ML Engineering, and Data Science roles. pranavakailashsp@gmail.com · LinkedIn