Kunal Sharma Email & Phone Number
@operasolutions.com
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Who is Kunal Sharma? Overview
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Kunal Sharma is listed as Senior Machine Learning Engineer @ Meta at Meta, based in New York, New York, United States. AeroLeads shows a work email signal at operasolutions.com and a matched LinkedIn profile for Kunal Sharma.
Kunal Sharma previously worked as Senior Machine Learning Engineer at Meta and Machine Learning Engineer at Meta. Kunal Sharma holds Master'S Degree, Computer Science from Georgia Institute Of Technology.
Email format at Meta
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AeroLeads found 2 current-domain work email signals for Kunal Sharma. Compare company email patterns before reaching out.
About Kunal Sharma
Senior Machine Learning Engineer that has spent 4.5 years in industry improving business processes by leveraging data and algorithms. Graduated MSCS and BSCS from Georgia Tech specializing in ML/AI.Currently, a Senior ML Engineer at Meta, focused on Ads Recommendations. Before this, he worked on Reels recommendations. Prior to joining Meta, he was at Cisco WebEx AI where he improved Cisco’s conversational AI framework by developing deep learning models that leveraed conversational and system context to improve intent classification accuracy. At the Georgia Tech Robotics Lab, he implemented computer vision techniques for the autonomous navigation of a self-driving RC car. He also served as an ML Consultant at IBM, creating an NLP solution to automate receipt reimbursement.
Listed skills include Neural Networks, Scikit Learn, Git, Public Speaking, and 17 others.
Kunal Sharma's current company
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Kunal Sharma work experience
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Machine Learning Research Assistant (Cv)
- Implementing computer vision techniques in tensorflow and ROS for real-time path planning of an autonomous RC car.- Using DeepLabv3 for image segmentation and SSD and MobileNet for object detection. - Worked in the Gatech Lorraine Robotics Lab with Prof. Cedric Pradalier.
Machine Learning Intern (Nlp) - Webex Ai
- Achieved a 5% improvement in intent classification accuracy of the Webex Assistant by incorporating conversational/device context, using Word2Vec embeddings, and switching to an LSTM model.- Developed a human resources conversational assistant (chatbot) as an enterprise example use-case of Cisco’s open-source conversational AI platform, Mindmeld.
Machine Learning Consultant (Nlp)
Automated reimbursement by extracting text from receipt images using Azure’s OCR API and processing data (expense type classification and price identification) using Spacy, word2vec, and NLTK.
Machine Learning Research Assistant
Published a novel approach to ranking campus buildings by risk of energy waste at the Areospace Design Lab with Dr. John Lewe.Sharma, Kunal and Lewe, Jung-Ho (2020) "Ranking Volatility in Building Energy Consumption Using Ensemble Learning and Information Entropy," Georgia Journal of Science, Vol. 74, No. 3, Article 1
Machine Learning Engineer Intern - (Nlp)
Developed a POC that predicts a patient’s highest health risks and flags fraudulent insurance claims using a word2vec model trained on 500M medical insurance claims (collected using SQL)
Co-Founder, Machine Learning Engineer
- Innovated an award-winning fashion-intelligent outfit recommendation engine that suggests complementary clothing given an apparel store's clothing inventory
- Trained an ensemble of neural networks (Primarily Siamese, CNN) on 100,000 outfits and stored clothing relations in a graph database
- Collaborated with Anatomie, an online apparel store, to align the engine with business needs
Co-Founder, Full-Stack Web Developer
- Raised $20,000 investment from Georgia Tech, established partnerships with 100+ brands and directed a team of 9 developers and marketers to launch an outfit-centric shop
- Developed the responsive UI and features including post-an-outfit, outfit feed algorithm, outfit search/sort using PHP, SQL and various APIs
Software Developer Intern
- Developed ‘Probation Ready’, a national award-winning offline-enabled responsive web app to guide probationers through disaster protocol using HTML, CSS, JS, PHP, and SQL
- Developed CRIMS, a criminal report web java servlet app currently used by Law Enforcement to generate data visualizations based on custom search parameters using JSP, SSIS, SSRS
Kunal Sharma education
Master'S Degree, Computer Science
Bachelor'S Degree, Computer Science
Frequently asked questions about Kunal Sharma
Quick answers generated from the profile data available on this page.
What company does Kunal Sharma work for?
Kunal Sharma works for Meta.
What is Kunal Sharma's role at Meta?
Kunal Sharma is listed as Senior Machine Learning Engineer @ Meta at Meta.
What is Kunal Sharma's email address?
AeroLeads has found 2 work email signals at @operasolutions.com for Kunal Sharma at Meta.
Where is Kunal Sharma based?
Kunal Sharma is based in New York, New York, United States while working with Meta.
What companies has Kunal Sharma worked for?
Kunal Sharma has worked for Meta, Cisco, Georgia Tech Research Institute, Ibm, and Electrifai.
How can I contact Kunal Sharma?
You can use AeroLeads to view verified contact signals for Kunal Sharma at Meta, including work email, phone, and LinkedIn data when available.
What schools did Kunal Sharma attend?
Kunal Sharma holds Master'S Degree, Computer Science from Georgia Institute Of Technology.
What skills is Kunal Sharma known for?
Kunal Sharma is listed with skills including Neural Networks, Scikit Learn, Git, Public Speaking, Reinforcement Learning, Data Analysis, Keras, and Tensor Flow.
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