Open to opportunities

Mann Pandya

@mannpandya

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AI Engineer building NLP, ML, and conversational agents to automate real-world workflows in healthcare and beyond.

India

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What I'm looking for

I’m looking for a role where I can build and deploy production AI systems (NLP/ML/CV) that automate real workflows, ship reliable models, and grow through strong engineering collaboration and clear, data-driven evaluation.

I’m an AI Engineer who architects and deploys production-ready ML and NLP systems, with hands-on experience across conversational agents, predictive automation, and deep learning pipelines. I focus on measurable outcomes like accuracy improvements, missed-appointment reductions, and smoother operations.

Most recently, I built AI-powered conversational agents for healthcare clinics using VAPI, automating appointment booking, rescheduling, cancellations, and no-show management. By integrating VAPI voice AI with GoHighLevel and a Supabase backend, I enabled scalable workflows handling 500+ daily patient interactions with 95% booking accuracy.

Before that, I strengthened my ML and engineering fundamentals as a Junior AI Engineer and AI Engineer Intern—using TensorFlow, PyTorch, and scikit-learn for hyperparameter optimization, cross-validation, and high-quality data preprocessing on 100K+ records. I also implemented real-time inference in full-stack production apps with React.js, Flask, and Django REST APIs.

I’ve broadened my expertise through an AI Cyber Analyst internship building threat intelligence systems and through projects like NASA document intelligence (transformers, semantic search, and vector indexing) and sports action recognition with computer vision. I’m driven by competition-level performance, having won NASA International Space Apps Challenge 2023 and Smart India Hackathon 2023.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

ClinicPro.ai

Jan 2026 - Present (6 months)

Architected and deployed AI-powered conversational agents for healthcare clinics to automate appointment booking, rescheduling, cancellations, and no-show management. Integrated VAPI voice AI with GoHighLevel CRM and a Supabase backend, and implemented Transformers-based NLP for intent classification and entity extraction.

VAPI GoHighLevel Supabase Transformers NLP

Junior AI Engineer

ReechX

Oct 2025 - Dec 2025 (2 months)

Developed and deployed ML models for automation and predictive analytics, improving prediction accuracy through hyperparameter optimization and cross-validation. Built production integrations using React.js, Flask, and Django with REST APIs and performed data preprocessing and feature engineering on 100K+ records.

TensorFlow PyTorch scikit learn Cross Validation data preprocessing Feature Engineering Recall F1 Score React Flask Django REST APIs Predictive Analytics

AI Engineer Intern

NuMinds

Jun 2025 - Sep 2025 (3 months)

Developed and deployed deep learning models for process automation, improving system efficiency through optimized training pipelines and model architecture. Executed end-to-end data preprocessing workflows including cleaning, augmentation, labeling, and feature extraction using Pandas, NumPy, and regular expressions.

TensorFlow PyTorch Deep Learning data preprocessing Labeling Feature Extraction Pandas NumPy

AI Cyber Analyst Intern

DeepCytes Cyber Labs

Jan 2025 - Mar 2025 (2 months)

Developed AI-driven threat intelligence systems using machine learning approaches to improve threat detection accuracy via clustering and anomaly detection. Analyzed large-scale security datasets using Python and statistical methods to identify attack patterns and vulnerabilities.