---
title: "Anurag Hegde - Data Science Specialist in Greater Bengaluru Area | Tal"
description: "Meet Anurag Hegde, 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 based in Greater Bengaluru Area. AI stack includes gemini, hugging face, and ollama."
image: "https://tal.club/meet/anurag-hegde/share-image"
---

# Anurag Hegde on Tal

## Headline

Data Scientist &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/anurag-hegde)

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