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Manansinh Sandhaliya

@manansinh

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AI Engineer focused on building reliable end-to-end ML and LLM-powered applications.

India

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What I'm looking for

I’m looking for a role where I can build reliable, end-to-end ML/LLM products—combining backend engineering, smart pipelines, and measurable impact—while collaborating with a team that values production quality, iteration, and ownership.

I’m a CSE (AI/ML) graduate and AI Engineer Intern (Project Lead) who enjoys turning messy real-world data into production-ready systems. I led 7 AI interns to deliver an AI-powered CRM platform, combining classical ML and LLM pipelines to make recommendations and extract structured insights from conversations.

On the technical side, I built an ensemble lead classification system (Random Forest; 88% accuracy), a Conversation Intelligence Engine for pain points, urgency, next actions, and deal-risk flags, and an LLM-driven CRM chatbot that translates user queries into validated MongoDB operations. I also designed a scheduled ETL pipeline (Google Sheets → MongoDB) with normalization, upserts, and batch inference, securing the platform with JWT auth and role-based access control—then reinforced these skills through end-to-end projects like my placement platform with Azure Document Intelligence and my multi-panel desktop AI assistant packaged with PyInstaller.

Experience

Work history, roles, and key accomplishments

AI Engineer Intern (Project Lead)

Detagenix Private Limited

Jan 2026 - Apr 2026 (3 months)

Led 7 AI interns to deliver an AI-powered CRM platform, managing sprint planning and technical unblocking. Built an 88%-accuracy ML lead-classification system and an LLM conversation-intelligence engine; developed a MongoDB-backed CRM chatbot with Google Sheets→MongoDB ETL, secured with JWT auth and role-based access control.

Gemini API MongoDB Google Sheets ETL JWT Role Based Access Control

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology, Computer Science Engineering (AI/ML)

2022 - 2026

Grade: CGPA 8.66/10.0

B.Tech in Computer Science Engineering with a specialization in AI/ML at Vellore Institute of Technology (Oct 2022–Apr 2026), achieving CGPA 8.66/10.0.