Contact
+91-8766055949 · nachiketshinde2004@gmail.com · LinkedIn · GitHub
Summary
AI Developer with hands-on experience in Machine Learning, Deep Learning, and Generative AI. Experienced in building RAG pipelines, vector search systems, and scalable backend services with a focus on performance, reliability, and automation.
Skills
- Programming: Python, Java, C/C++
- AI & ML: Scikit-learn, TensorFlow, PyTorch, NLP, Computer Vision, Deep Learning
- Generative AI: RAG, LangChain, LangGraph, Qdrant, Vector Search, n8n
- Frameworks: Flask, FastAPI, Django, Streamlit
- Tools: Docker, Git, Postman, VS Code
- Databases: MongoDB, PostgreSQL, MySQL, SQLite, Qdrant
Experience
- Associate Developer Intern — Idyllic Services (Jan 2026 – Present)
- Built JD-to-candidate stages using GPT-4.1, Qdrant, MongoDB, and OpenAI Embeddings.
- Reduced LLM token usage by 99% and improved response time by 10× via semantic caching and vector search.
- Deployed 10+ full-stack apps on Linux VPS with SSH, Docker, and Nginx.
- Software Developer — Mountreach Solutions (Remote) (Jun 2025 – Dec 2025)
- Mentored students in AI/ML and full-stack development; supported ML pipelines and backend APIs.
Featured Projects
- Arjuna — AI College Chatbot: Context-aware RAG chatbot using Qdrant and LangGraph; improved precision by 80%.
- Automated Multi-Script Generation Pipeline: GenAI+n8n workflow with robust JSON correction and Sheets integration.
- PyCodeML: Modular AutoML framework with benchmarking and tuning; improved model performance by 40%.
Certifications & Achievements
- NPTEL (IIT Kharagpur): DBMS, C Programming, Java, Compiler Design
- NPTEL (IIT Madras): Design and Analysis of Algorithms
- NPTEL Discipline Star — Awarded by IIT Bombay
- Published paper: “PyCodeML: Automated ML Model Selection Framework” (NCISET 2025)
Education
B.Tech. in Computer Science and Engineering, CSMSS Chh. Shahu College of Engineering, Chh. Sambhajinagar (Aug 2022 – Jun 2026) · CGPA: 7.53/10