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jyotidabass/README.md

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🧠 About Me

I'm a Senior Data & AI Engineer designing, deploying, and scaling production-grade AI systems. My work spans the full AI lifecycle β€” from data engineering and model development to cloud deployment, CI/CD, and MLOps.

  • πŸ—οΈ Currently building cloud-native AI recruitment systems, LLM-powered agents & Advanced RAG pipelines
  • πŸ“ 800+ technical articles on Medium β€” 1M+ readers across GoPenAI, Stackademic, DevGenius & more
  • πŸ“š Editor @ Elsevier β€” Encyclopedia of Artificial Intelligence: Foundations, Innovations, and Future Directions
  • πŸŽ“ Mentored 100+ learners in AI/ML projects in collaboration with Liverpool John Moore's University & IIT Madras
  • πŸ” Reviewed 300+ international publications and published 750+ research papers & blogs
  • 🌐 1000+ open-source GitHub repos shared with the community

πŸ… Credentials & Recognition


πŸš€ Career Impact Highlights

Area Achievement
πŸ€– AI Recruitment System 90% automation in sourcing & screening; 40% better candidate ranking
⚑ LangGraph Batch Processing 50% reduction in compute latency for bulk resume analysis
πŸ” Real-time Feedback Loops 30% improvement in score reliability from recruiter decision signals
πŸ›οΈ Virtual Try-On (e-commerce) 30%+ increase in customer engagement & conversion
🎯 Image Recognition 95% accuracy using CNNs + transfer learning
πŸ“° Technical Writing 1M+ readers across top AI publications on Medium
πŸŽ“ Course Creation LLMs, Responsible AI, Generative Media β€” GUVI / IITM Research Park
πŸ”’ Secure API Deployment JWT + RBAC + CI/CD on GCP Cloud Run for enterprise-grade systems

🧩 AI Expertise β€” Depth Map

πŸ—£οΈ  Large Language Models (LLMs)       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
πŸ”  Advanced RAG & Agentic AI          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
πŸ€–  Multi-Agent System Design          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Expert
πŸ‘οΈ  Computer Vision & Image AI         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘  Expert
☁️  Cloud-Native ML (GCP / AWS)        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Expert
🏭  Production MLOps & Deployment      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘  Advanced
🎀  Speech, Audio & Multimodal AI      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘  Advanced
πŸ“Š  Data Engineering & Analytics       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘  Advanced
πŸ”¬  AI Research & Academic Publishing  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert
✍️  Technical Writing & AI Education   β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  Expert

πŸ’Ό What I Build

Domain What I Deliver
πŸ€– Agentic AI Systems Multi-agent pipelines, LangGraph orchestration, tool-use agents, memory & feedback loops
πŸ” RAG Applications Semantic + hybrid retrieval, FAISS / Pinecone / Milvus, re-ranking, LangSmith eval
🏭 Production ML APIs FastAPI microservices, JWT/RBAC auth, Pydantic-validated, CI/CD via GitHub Actions
☁️ Cloud ML Platforms GCP Vertex AI, Cloud Run, GKE, BigQuery pipelines, model monitoring & observability
πŸ‘οΈ Computer Vision Object detection, instance segmentation, GANs, virtual try-on, medical imaging AI
🎀 Speech & Multimodal AI Audio/speech analysis, multimodal pipelines combining text, image & audio
πŸ“Š Data Engineering PySpark, BigQuery, PostgreSQL, MongoDB, Redis, Kafka streaming
πŸ”¬ Research & Publishing Technical papers, AI course creation, editorial review, research mentorship

πŸ› οΈ Core Skills & Technology Stack

πŸ€– AI / ML / LLMs

Python PyTorch TensorFlow HuggingFace LangChain OpenCV scikit-learn Pandas NumPy

Specializations: Advanced RAG Pipelines Β· LangGraph Agents Β· Semantic & Hybrid Retrieval Β· Gemini / GPT-4 / Claude Β· FAISS Β· Pinecone Β· Milvus Β· Prompt Engineering Β· LangSmith Evaluation Β· SentenceTransformers Β· SpaCy Β· NLTK Β· AutoML Β· Transfer Learning

☁️ Cloud & MLOps

GCP Docker Kubernetes GitHub Actions AWS MLflow Weights&Biases

Platforms: Vertex AI Β· Cloud Run Β· BigQuery Β· Firestore Β· GKE Β· Streamlit Β· Gradio

🌐 APIs & Backend

FastAPI PostgreSQL MongoDB Redis Kafka

Includes: OAuth2 Β· JWT Β· RBAC Β· Pydantic Β· RESTful APIs Β· Swagger/OpenAPI Β· Postman


πŸ† Featured Projects & Products

  • πŸ”— SynapseHire β€” Cloud-native AI recruitment platform with 6+ FastAPI microservices, semantic RAG scoring, LangGraph batch processing & GitHub/LinkedIn-integrated FitScore agent. Achieved 90% sourcing automation.
  • πŸ₯— PersonalNutrition.com β€” Personalized diet recommendation engine using object detection, instance segmentation, GANs, NLP & sentiment analysis on text + image data.
  • πŸ’„ MeetTulip.com β€” AI-powered virtual try-on + product recommendation system achieving 95% image recognition accuracy via CNNs and transfer learning.

πŸ“š Publications, Teaching & Thought Leadership

  • πŸ“– Editor @ Elsevier β€” Encyclopedia of Artificial Intelligence: Foundations, Innovations, and Future Directions (AI in Business, Cybersecurity, Fraud Detection, Financial Analytics)
  • ✍️ 800+ Medium articles β€” LLMs, GenAI, MLOps, Computer Vision, Prompt Engineering β€” published in GoPenAI, Stackademic, DevGenius, Venture & more
  • πŸŽ“ AI Course Creator @ GUVI / IITM Research Park β€” LLMs, Hugging Face Fine-tuning (AutoTrain), Responsible AI, Deep Learning for Generative Media
  • πŸ“Ί YouTube β€” Learning Chunks β€” AI explainer content for practitioners
  • πŸ”¬ Semantic Scholar β€” Profile | Google Scholar β€” Profile
  • πŸ›οΈ Peer Reviewer β€” 50+ international journals & books, 300+ publications reviewed, patent contributions at Sony Research India

🧠 AI Philosophy & Approach

I don't just build models β€” I architect end-to-end intelligent systems that solve real business problems at scale. From research to production, I bring both the scientific rigor of a Ph.D researcher and the pragmatism of a senior engineer who has shipped products used by real users.

  • πŸ” Research β†’ Production mindset: Every system I build is designed for observability, feedback loops, and continuous improvement
  • πŸ§ͺ Evaluation-first: I build LLM evaluation pipelines (LangSmith, custom harnesses) before scaling any AI feature
  • πŸ›‘οΈ Responsible AI: Fairness, explainability, and safety are non-negotiable in every system I design
  • πŸ”„ Feedback-driven learning: I integrate recruiter/user signals back into model scoring logic β€” AI that gets smarter over time

πŸ“° Latest Writing & Courses

Type Title / Area Platform
πŸ“˜ Book Encyclopedia of Artificial Intelligence (Editor) Elsevier
πŸŽ“ Course Introduction to LLMs: From Basics to Advanced GUVI / IITM
πŸŽ“ Course Pretraining & Fine-Tuning NLP Models (Hugging Face) GUVI / IITM
πŸŽ“ Course Responsible AI Principles & Practices GUVI / IITM
πŸŽ“ Course Deep Learning for Generative Media GUVI / IITM
✍️ Blog LLMs, RAG, MLOps, Computer Vision, GenAI Medium (500+ articles)
πŸ“Ί Video AI concepts for practitioners YouTube β€” Learning Chunks

🌍 Industry Experience Across Domains

πŸ₯  Healthcare AI          Breast cancer detection, histopathology, medical imaging
πŸ›’  E-Commerce AI          Virtual try-on, product recommendation, NLP ad optimization
πŸ’Ό  HR Tech / Recruitment  Agentic AI hiring systems, resume parsing, FitScore ranking
πŸ₯—  Nutrition & Wellness   Diet recommendation, food image analysis
πŸ”  Cybersecurity AI       Fraud detection, anomaly detection (editorial expertise)
πŸ“ˆ  Financial Analytics    AI-driven insights (editorial expertise)
πŸŽ“  EdTech                 AI course creation, learner mentorship, thesis supervision
πŸ”¬  Research               Multimodal AI, meta-learning, explainability, NLP

🀝 Let's Connect

Always happy to connect with fellow researchers, engineers, and builders working on interesting AI problems. Feel free to reach out for collaborations, open-source contributions, research discussions, or just a good conversation about AI.

πŸ“« LinkedIn | Medium | Google Scholar | Kaggle

"Building AI systems that don't just work in notebooks β€” but scale, serve, and create real-world impact."

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  1. PCOS-APP PCOS-APP Public

    A project dedicated to PCOS , which is so common diseases yet not know. September is the PCOS awareness month and with this project I tried to create some awareness.

    HTML 7 2

  2. Deploy-python-script-on-heroku Deploy-python-script-on-heroku Public

    Output

    Python 2

  3. Gabor-features-coated-tongue Gabor-features-coated-tongue Public

    Jupyter Notebook 1