Neil Shah

AI Engineer @ Unique Designs, Inc.

About

I’m an AI engineer with a strong focus on applied research and real-world impact. My work spans fine-tuning large language models like LLaMA 3 using LoRA and quantization, building retrieval-augmented generation (RAG) pipelines, and deploying production-ready AI systems. During my internships at JioStar and Finseal, I worked on end-to-end NLP pipelines, time series forecasting, and sentiment-driven analytics. I also co-authored a research paper presented at the 2025 IEEE International Students’ Conference on a privacy-preserving, on-device health recommendation system powered by fine-tuned LLMs. I’m especially interested in generative AI, agent-based systems, and building intelligent applications that go beyond prototypes. I’m always open to collaborating on projects that push the boundaries of what AI can do in practice.

Country

India

City

Mumbai

Industry

Information Technology & Services

Skill

Nginx, LangGraph, PostgreSQL, Rembg, EfficientNet, Transformers, Pandas, Software as a Service (SaaS), LangChain, Data Modeling, Multivariate Statistics, Cluster Analysis, Google Cloud Platform (GCP), Random Forest, Linear Regression, XGBoost, Analytical Reasoning, JavaScript, Robotic Process Automation (RPA), Workflow Automation

Experience

AI Engineer

Unique Designs, Inc.

2025-7 - Presente · 1 a 4 m

Mumbai Metropolitan Region

• Designed and deployed production-grade AI systems spanning computer vision, GenAI, and workflow automation, supporting business-critical operations at scale. • Built and productionized computer vision classification and image processing pipelines, enabling accurate product image enhancement, background removal, and object detection. • Developed and deployed RAG-based NL2SQL systems that translate natural language queries into SQL for intelligent analytics and decision-making. • Automated complex business workflows using agentic AI frameworks (LangChain, LangGraph, n8n), orchestrating multi-step reasoning, API integrations, and reporting pipelines. • Leveraged Google Gemini (Flash 2.5, Pro) and other multimodal models to power AI-driven automation and enterprise solutions. • Collaborated cross-functionally to design, test, and deploy end-to-end AI solutions using Python, PostgreSQL, REST APIs, and Streamlit.

Data Scientist

JioStar

2024-12 - 2025-6 · 7 m

Mumbai, Maharashtra, India

• Built automated speech-to-text and translation pipelines using OpenAI Whisper, enabling large-scale transcription of multilingual regional content. • Designed scalable news intelligence pipelines using web scraping and transformer-based NLP (Flair NER) for topic classification and entity extraction. • Improved downstream analytics by achieving a 3–4× improvement in data quality and signal relevance, supporting sales, marketing, and content strategy teams.