Headline

Data Scientist & ML Engineer | NLP · LLMs · Computer Vision · MLOps | Python · PyTorch · HuggingFace | Full-Stack MERN (1.5 yrs) | MCA @ NMAM Institute of Technology | Open to Opportunities

About

Data Scientist and ML Engineer with hands-on experience building production-ready ML systems — from fine-tuning LLMs (BERT, Mistral-7B, Llama-3) to deploying end-to-end pipelines with FastAPI, Docker, and MLflow. 🔹 Deep Learning: PyTorch, TensorFlow, CNN, LSTM, BiLSTM, Transfer Learning (DenseNet121) 🔹 NLP & GenAI: HuggingFace Transformers, LoRA/PEFT fine-tuning, Prompt Engineering, Sentiment Analysis 🔹 MLOps: MLflow, Optuna, Docker, FastAPI REST APIs, Streamlit, Heroku, AWS/Azure/GCP 🔹 Full-Stack (MERN): React.js, Node.js, Express.js, MongoDB, Redis, Socket.io, AWS — 1.5 yrs production exp 🔹 Data & Analytics: SQL, PySpark, Hadoop, Power BI, Advanced Excel Key Projects: • Social Media Sentiment Analysis — Fine-tuned 7 transformer models (BERT → Llama-3) with LoRA; built MLOps tracking pipeline with MLflow + Optuna • Breast Cancer Image Classifier — 94.94% accuracy with DenseNet121 transfer learning; Streamlit deployment • Store Demand Forecasting — Hybrid BiLSTM+CNN outperformed 9 models on 5-year retail dataset • Fraud Detection System — 99% accuracy; containerized FastAPI + Streamlit stack on Docker + Heroku • Speech Emotion Recognition — 89.6% accuracy; 13 algorithms; real-time microphone inference Education: MCA, CGPA 8.95/10 — NMAM Institute of Technology (Nitte Deemed University) Currently upskilling at PySpiders (Bengaluru) in advanced DS, GenAI, Big Data, and Power BI. Open to: Data Scientist | ML Engineer | Data Analyst | Full Stack Engineer roles 📩 anuraghegde08@gmail.com

Location

Greater Bengaluru Area

AI stack

gemini

hugging face

ollama

openai

Work experience

Data Science Specialist at pyspiders, Nov 2025 - Present · 8 mos, Bengaluru, Karnataka, India, Nov 2025 – Present · Bengaluru, Karnataka Hands-on training and applied projects across the full data science stack: • Python ecosystem: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, advanced ML algorithms • Generative AI & LLMs: HuggingFace Transformers, prompt engineering, fine-tuning workflows • Big Data: Hadoop, PySpark for large-scale distributed data processing • Business Intelligence: Power BI dashboard development; Advanced Excel (VBA, Pivot Tables, automated reporting) • SQL: complex querying, joins, aggregations for data analysis

Full Stack MERN Developer at Accelerlab Solutions, Bengaluru, Sep 2023 - Oct 2024 · 1 yr 2 mos, Moodubidire, Karnataka, India, Sep 2023 – Oct 2024 · 1 yr 2 mos · Bengaluru, Karnataka Built and shipped production-grade full-stack applications at scale: • Architected 5 MERN applications serving 10,000+ users with 99.8% uptime and 50,000+ daily API requests • Implemented Redis caching layer reducing database queries by 60% • Built real-time chat with Socket.io supporting 500+ concurrent users; JWT + RBAC for 5,000+ user accounts • Integrated PCI-DSS compliant payment gateway processing 1,000+ monthly transactions • Set up CI/CD pipeline (GitHub Actions + Docker) cutting deployment time from 2 hrs → 15 min (87% reduction) • Achieved 85% test coverage (Jest); reduced production bugs by 70% • Deployed on AWS (EC2, S3, CloudFront) supporting 3x user growth Stack: React.js · TypeScript · Node.js · Express.js · MongoDB · Redis · Socket.io · Docker · AWS · Jest

Frontend Developer Intern at Unified Mentor, Apr 2024 - Aug 2024 · 5 mos, Remote, Apr 2024 – Aug 2024 · 5 mos · Remote • Developed 10+ responsive React.js applications; improved user engagement by 35%, Lighthouse scores 90+ • Refactored jQuery codebase to React.js reducing code complexity by 50% • Built 25+ component reusable library cutting development time by 30% • Achieved 98% pixel-perfect Figma implementation accuracy Stack: React.js · JavaScript · Tailwind CSS · Material-UI · REST APIs · Git

ML & Big Data Analytics Intern at PHN Technology Pvt Ltd, Feb 2023 - Sep 2023 · 8 mos, Pune District, Maharashtra, India, Feb 2023 – Sep 2023 · 8 mos · Pune, Maharashtra • Trained in supervised and unsupervised ML algorithms with hands-on big data analysis • Applied machine learning to large-scale datasets using Python and big data frameworks • Gained proficiency in data preprocessing, feature engineering, and model evaluation

Education

Master of Computer Applications - MCA, Computer Software Engineering, Nmam Institute of Technology

Bachelor, Computer Applications, SRI BHUVANENDRA COLLEGE