About Me
Hi there! I'm Neel Shah, an innovative AI Engineer with over 2 years of experience deploying AI systems in production environments. I have worked on a wide range of impactful projects, leveraging my expertise to design, plan, and deliver products from initial prototype to full-scale production. My skillset spans across agentic systems, deep learning, computer vision, and NLP, enabling me to transform ideas into robust, scalable solutions that drive real business value.
As a Microsoft Azure Certified Data Scientist Associate, Databricks Certified Data Engineer Associate, and 5X Hackathon Winner, I'm passionate about transforming AI prototypes into robust, scalable, production-ready systems that create real business value. My journey spans from architecting comprehensive AI systems for e-commerce platforms to engineering multi-agent frameworks for government applications with 99% concordance with expert evaluators.
Currently working at Neuramonks as an AI Engineer (promoted from internship to full-time after 3 months), I've deployed cutting-edge solutions including Qwen2.5 VL 72B models on-premise for enhanced security compliance and architected AI-powered decision engines for major international clients.
Let's innovate together and drive real-world impact through applied AI!
Professional Experience
- Feb 2025 - Present: AI Engineer at Neuramonks (Full-time, promoted from internship)
- May 2024 - Jun 2024: AI Engineer (Internship) at Aviato Consulting, Australia
- May 2023 - Jun 2023: AI Developer at Charusat Learning And Development Club
Notable Achievements
- Secured Top 0.1% out of 20,000+ teams in Amazon ML Challenge 2024 and All-India Top 0.3% out of 23,000+ teams in Amazon ML Challenge 2025
- Won 1st place in IndoML Datathon (Phase 1 track in 2025, and both tracks in Phase 2 in 2025) out of 400+ teams
- Won 1st place in DataQuest 2024 sponsored by MSBC Group, and secured Top 5 in Healthathon
- Achieved 3rd position among 180 top-tier teams in The Maverick Effect AI Challenge 2024, and 2nd place in IndoML Datathon 2024 (Phase 1)
- Led a team to 2nd position at University level in Smart India Hackathon 2023, and selected for OpenACC Nvidia Hackathon at IISc, Bangalore
- Selected as a finalist in AI Hackathon 2024 at IIM Ahmedabad, and Top 11% in Meesho Visual Taxonomy Data Challenge
- Achieved Top 5% nationwide in DBMS course by IIT Kharagpur via NPTEL and recognized as an NPTEL Discipline Star
- Invited as a Resource Person by CSI & IEEE for MERN, RAG, GANs, and YOLO training sessions
- Appointed as Student Representative for the Board of Studies (AI & ML) (2023–2025)
Technical Expertise
- AI & ML: Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning
- Generative AI: LLMs, LoRA, RAG, Reranking, Guardrails, Diffusion models, TTS, STT
- Agentic Systems: CrewAI, LangGraph, LangChain, MCP (Model Context Protocol), FastMCP, n8n
- Frameworks: PyTorch, TensorFlow, Keras, Hugging Face, OpenCV, FastAPI, Sklearn, Numpy, Pandas
- MLOps: Git, Docker, Kubernetes, Kafka, MLflow, W&B, Apache Airflow, CI/CD, VLLM, Unsloth, TensorRT, DeepStream
- Cloud Platforms: Azure (Certified), AWS, GCP, Databricks (Certified)
Certifications
Education
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Sep 2022 - Apr 2026: Bachelor of
Artificial Intelligence and Machine Learning
Charotar University of Science and Technology, Gujarat, India
CGPA: 9.6
Vision & Mission
As an infinite learner, I'm driven by a passion to harness the transformative power of AI to create solutions with meaningful, lasting impact. Whether it's revolutionizing healthcare outcomes, combating misinformation through advanced deep learning, or pioneering new frontiers in agentic AI systems, I'm committed to pushing the boundaries of what artificial intelligence can achieve. My goal is to bridge the gap between cutting-edge AI research and real-world applications that solve complex global challenges.