Khaleeque Ansari

CEO

San Francisco, California, United States11 yrs 5 mos experience

AI ML PractitionerHighly Stable

Key Highlights

10+ years in Machine Learning and Data Science.
Led teams to build scalable ML systems.
Awarded for innovative chatbot technology.

Stackforce AI infers this person is a Machine Learning expert with a strong focus on SaaS and data-driven solutions.

Contact

Skills

Core Skills

Machine LearningData ScienceNatural Language Processing

Other Skills

Quantitative ResearchExecutive-level CommunicationLarge Language Models (LLM)Architectural DesignRetrieval-Augmented Generation (RAG)Model ValidationTechnical LeadershipFine TuningRecommender SystemsCross-team CollaborationReinforcement LearningModel TrainingXGBoostNatural Language UnderstandingCausal Inference

About

Machine Learning Lead with 10+ years of experience in Machine Learning, Data Science & Advanced Analytics in consumer product companies. Have extensive knowledge and practical experience in machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval and production ready software development. Have built scalable machine learning systems from scratch. 5+ years of experience in managing team of Data Science Engineers & Software Developers. Have experience of hiring, mentoring, doing performance evaluation and developing junior team members. Great communicator, able to articulate complex concepts in easy to understand language. Have strong management and leadership skills, demonstrated ability to build, organize, manage a team to support a wide range of tech initiatives.

Experience

11 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

10 mos

Current Experience

Visa

Senior Director

Aug 2025 – Present · 10 mos · San Francisco Bay Area

Amazon

Lead Machine Learning Engineer (Lead Applied Scientist)

Jan 2020 – Aug 2025 · 5 yrs 7 mos · Seattle, Washington, United States

Quantitative ResearchExecutive-level CommunicationLarge Language Models (LLM)Architectural DesignRetrieval-Augmented Generation (RAG)Model Validation+9

Make my trip

Lead Data Scientist

May 2018 – Dec 2019 · 1 yr 7 mos

Developed natural language processing models and dialogue management system for Myra, MMT's task bot for customer service(link below)
Building Voice-Based AI-Powered Assistant for MMT in collaboration with Microsoft.
Scaled Machine Learning Model in Production to serve more than 20 Million requests per month.
Innovation Champion Award: Received award for developing MakeMyTrip chatbot technology.
SVM | RNN/LSTM | Goal Oriented Dialog System | PyTorch | Scikit-Learn | Scalable ML

Natural Language UnderstandingQuantitative ResearchCausal InferenceExecutive-level CommunicationTechnical CommunicationKey Metrics+30

Sirionlabs

Head of Data Science

Dec 2016 – Apr 2018 · 1 yr 4 mos

Using Machine Learning to extract information from contracts. Developed an auto-extraction software for extraction of meta data and obligations from contract documents.
Developed an information extraction system to extract details of predefined classes of entities from unstructured data & further classifying extracted data using machine learning.
Classification Algorithms | Stanford CoreNLP| Scikit-Learn | NLTK | Information Extraction | ML

Natural Language UnderstandingQuantitative ResearchCausal InferenceExecutive-level CommunicationTechnical CommunicationKey Metrics+23

Grownout

Data Scientist

Feb 2015 – Jan 2016 · 11 mos

Developed a Data Science Lab for hiring Industry from scratch.
Developed a Job Switch Prediction Algorithm, patent pending technology.
Grownout got acquired by PeopleStrong ( https://inc42.com/buzz/peoplestrong-acquires-startup-grownout/ )
Python | MongoDB | Elasticsearch | Django | Machine Learning | Mac OS X

Quantitative ResearchTechnical CommunicationUser ModelingTopic ModelingMathematical AnalysisTime Series Forecasting+11

Proptiger.com

Data Scientist

May 2014 – Feb 2015 · 9 mos · Noida Area, India

User Analytic's Product
Building a product using Elasticsearch, Python, Flask.
Market Segmentation
Applying big data analytics to improve customer retention.
Building a market segment classification model using Cluster Analysis on customer relationship management(CRM) data.
Python | MongoDB | Elasticsearch | Flask | MySQL | Machine Learning | MixPanel | Statistical Modelling

Quantitative ResearchTechnical CommunicationUser ModelingTopic ModelingMathematical AnalysisTime Series Forecasting+9

Roposo.com

Software Developer Internship

Dec 2013 – May 2014 · 5 mos · Gurgaon, India

Developed Facebook Image share tool for lists.
Developed the User Analytic Interface for the the traffic coming to the website.
Developed the User virality for the interactions happening on website.
Java | Scala | MongoDB | Neo4j | Intellij | GitHub | Mac OS X

C++Technical CommunicationExtract, Transform, Load (ETL)Cross-team Collaboration

Qualcomm

Interim Engineering Internship

May 2013 – Jul 2013 · 2 mos · Hyderabad Area, India

Built a wrapper in python for a utility which is used by the company to generate diff files.
Developed a logging mechanism and load balancer to efficiently utilize the harvesters.
Python | Node.js | HTML | JavaScript | FlashDB | IDLE | Windows 7

Quantitative ResearchC++Technical Communication

Hardware verification group (hvg), concordia university

Visiting Researcher Internship

May 2012 – Jul 2012 · 2 mos · Montreal, Canada

Worked on higher order logic formalisation of random variables for extended reals in HOL.
Used it for developing probabilistic models for condition assessment of oil and gas pipelines as suggested by the research paper of M.D. Pandey.
HOL4 Kananaskis 9 | Ubuntu

Quantitative ResearchC++Technical Communication