Amit Kumar
Verified Expert in Engineering
AI Engineer and Developer
Dubai, United Arab Emirates
Toptal member since November 17, 2025
Amit is an AI engineer with 12 years of hands-on experience building production-grade generative AI and machine learning solutions, specializing in transforming complex business problems into scalable, high-impact AI products across healthcare, telecom, and insurance. He has led cross-functional teams and architected end-to-end platforms for global clients. With a focus on measurable outcomes, Amit has consistently delivered meaningful improvements in efficiency, automation, and decision-making.
Portfolio
Experience
- Python 3 - 12 years
- Pandas - 10 years
- Natural Language Processing (NLP) - 10 years
- Scikit-learn - 10 years
- Machine Learning - 10 years
- Large Language Model Operations (LLMOps) - 4 years
- Large Language Models (LLMs) - 4 years
- LangChain - 2 years
Preferred Environment
PyCharm, Visual Studio Code (VS Code), Python 3, LangChain, FastAPI, Asyncio, Data Science
The most amazing...
...solution I've developed is a web scraping utility that quickly gained traction, earning 84 GitHub stars and adoption across a global developer community.
Work Experience
Senior AI Engineer
M42
- Built an AI-powered analytics platform that uses large language models and retrieval-augmented generation (RAG) to turn natural language queries into dynamic SQL and automated visualizations, enabling the analysis of clinical and environmental data.
- Developed a physician-focused chatbot that facilitates access to patient EHR data by using a multi-agent framework and RAG to process information in FHIR format, improving efficiency and supporting better decision-making for healthcare providers.
- Engineered an AI-assisted genetic variant pathogenicity classifier that searches and interprets scientific literature and bioinformatics data to assess pathogenicity in line with guidelines, reducing variant analysis time by four hours per patient.
Lead AI Engineer
Airtel India
- Drove a team of six to develop a contact center call monitoring system powered by automatic speech recognition (ASR) technology.
- Architected a lead-mining system for contact centers that analyzes 200,000 daily calls for potential leads, increasing lead conversion by 10%.
- Built an intent classifier and an emerging-intent discovery model for a chatbot, increasing intent coverage by 16%.
Data and Applied Scientist II
Microsoft
- Developed an aspect-based sentiment analysis system to extract insights and evaluate user sentiments from Windows-related social media data.
- Engineered feedback-mining algorithms to analyze Feedback Hub data, identify high-impact bugs, and quantify the affected user base.
- Implemented data pipelines to analyze telemetry and app usage data, revealing user behavior and informing feature prioritization.
Tech Lead
InfoEdge
- Spearheaded AI initiatives at Shiksha.com, establishing NLP and integration teams and building scalable compute infrastructure.
- Directed the development of a virtual service agent, introducing new offerings for universities through Shiksha.com.
- Developed a feedback analysis system for multi-dimensional college ratings, providing actionable insights for business decisions.
Senior AI Scientist
ExlService
- Designed and deployed an AI-powered "Colleague Advisor" chatbot for the US Midwest region, enabling risk analysts to accelerate industry research and reducing risk report generation time by 10%.
- Built a predictive Directors & Officers (D&O) liability model leveraging Bi-LSTM architectures and GloVe embeddings to assess litigation risk from legal text data.
- Built a geospatial risk map integrating total insured value (TIV) with OpenStreetMap to help underwriters identify exposure concentrations and manage regional accumulation limits.
Experience
AI-powered Analytics Platform for Clinical Data
Physician-focused AI Chatbot for EHR Access
Contact Center Call Monitoring Software
Emerging Intent Discovery for Chatbot
Windows Feedback Analysis
Customer Churn Modeling
Education
Bachelor's Degree in Engineering
Indian Institute of Technology Kanpur - Kanpur, India
Certifications
Machine Learning in Production
Coursera
Artificial Intelligence on Microsoft Azure
Microsoft
Skills
Libraries/APIs
Pandas, Scikit-learn, Matplotlib, NumPy, Claude API, OpenAI API, PyTorch, Asyncio, Keras, Natural Language Toolkit (NLTK), SpaCy, SciPy, Flask API
Tools
Azure OpenAI Service, Claude, PyCharm, Apache Airflow, Whisper, MATLAB, Gensim, Amazon Lex
Languages
Python 3, Python, C, SQL, Fortran
Frameworks
LangGraph
Storage
JSON, PostgreSQL
Paradigms
Model Context Protocol (MCP), Back-end Architecture, Business Intelligence (BI), HL7 FHIR Standard
Platforms
Azure, Amazon Web Services (AWS), Azure AI Studio, NVIDIA CUDA, Visual Studio Code (VS Code), NVIDIA NeMo, Databricks, Google Cloud Platform (GCP)
Other
LangChain, FastAPI, Large Language Models (LLMs), Large Language Model Operations (LLMOps), Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), AI Agents, Agentic AI, OpenAI, Generative Artificial Intelligence (GenAI), APIs, Architecture, Prompt Engineering, Product Development, GPU Computing, Document Parsing, Vector Search, Vector Databases, Data Science, AI Programming, Scientific Data Analysis, CI/CD Pipelines, IT Management, AI Voice Agents, Speech-to-Text (STT), Text-to-Speech (TTS), NVIDIA Triton, Machine Learning Operations (MLOps), BERT, Transformers, Chatbots, Discovery, Feedback Review, Customer Feedback, User Feedback, Electronic Health Records (EHR), Retrieval-augmented Generation (RAG), GraphDB, Amazon Bedrock AgentCore, OpenStreetMap, Churn Analysis, Algorithms, Optimization, Engineering, Software
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