Bhanu Sharma work email
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Bhanu Sharma personal email
As an experienced Machine Learning Engineer with over 5 years of experience, I specialize in developing scalable AI solutions that bridge cutting-edge research and impactful real-world applications. With a strong foundation in NLP, deep learning, and multimodal AI, I thrive on solving complex challenges and driving innovation. I’ve had the privilege of being the founding ML engineer at SpotDraft, where I led the development of a flagship AI-powered contract review system and spearheaded advancements in legal NER and summarization tools—transforming how legal workflows are streamlined. At CloudSEK, I scaled AI systems to detect brand impersonation for millions of websites, delivering measurable results in mitigating risks for global clients. Currently, I’m focused on pushing the boundaries of AI at the intersection of healthcare and generative models, leveraging frameworks like PyTorch and TensorFlow to craft transformative solutions. My passion lies in building high-velocity, collaborative teams and translating state-of-the-art research into tangible, impactful products. When I’m not immersed in AI, I enjoy heavy-weather sailing in the Pacific Northwest and introducing others to the joy of sailing through my role as Co-Commodore at the Washington Yacht Club. Let’s connect to discuss how we can collaborate on building the next big thing in AI and beyond!
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Founding EngineerStealthSeattle, Wa, Us
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Founding EngineerStealth Oct 2024 - PresentSeattle, Washington, United StatesBuilt a conversational agent using Retrieval-Augmented Generation (RAG) model leveraging Vertex AI and Gemini -
Software Engineer InternKlaviyo Jun 2024 - Aug 2024Boston, Massachusetts, United States -
Ai Development Lead - AideCloudsek Oct 2020 - Sep 2022Bengaluru, Karnataka, India• Led a team of 7-10 individuals in research efforts for identifying and pre-empting phishing attacks.• Designed and implemented a machine learning based system responsible for crawling, classifying and scoring domains (>1.5 million) registered each day on threat they possess to a client’s brand and infrastructure, in real time.• The system is contextual, using over 10 different machine learning models to adapt and work specific to each client. The scores automatically update as and when the threat evolves.• Was a lead developer in creating and launching a new product, “Digital Risk Platform” which can predict cybersecurity threats.• Worked on a phishing website detection framework based on visual similarity, using triplet loss and multiple convolutional neural networks. -
Senior Machine Learning EngineerCloudsek Mar 2020 - Sep 2020Bengaluru, Karnataka• Developed deep learning model with use of XLNet to help detect lexical alongside textual similarity between two urls.• Implemented a R-CNN based logo detection model to detect brand infringement in fake web pages
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Founding EngineerSpotdraft Sep 2017 - Feb 2020Gurgaon, India• Developing deep learning models for contracts. • Working on extraction of relevant information from contracts.• Built a multi class CNN classifier for textual data(contracts) in Tensorflow.• Deployed the model using Tensorflow Serving and created an API for the model.• Constructed an abstractive summarizer using pre-trained language model (BERT) and several transformer layers.• Created a legal question-answering model that's trained to answer variety of questions from a legal contract.• Built and deployed an NER model that accurately extracts 22 different entities of varying sequences from a given contract.• Worked on creating multiple customised classifier models to show a rag (red-amber-green) analysis thus accurately telling what is good, bad and ugly in a legal contract.• Created an attention based image captioning model that generates diagnosis for the patient based upon the given medical image.• Trained an object detection and segmentation model to detect visa-stamps from a passport leaflet using an OSS implementation of yolo. -
InternFybr Apr 2017 - Jul 2017Bengaluru Area, India• Worked on developing Machine Learning models to determine arrival, departure and outlier events, of vehicles at a parking lot.• Pre-processed and trained the models on the vector of parking sensor data• In comparison to the prior algorithm deployed, increased the accuracy by 4% -
Student Branch ChairIeee-Ait Aug 2016 - Jul 2017Delhi Area, India
Bhanu Sharma Skills
Bhanu Sharma Education Details
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Electrical And Computer Engineering -
Electronics And Communication Engineering -
Pcm With Economics -
Electrical And Computer Engineering
Frequently Asked Questions about Bhanu Sharma
What company does Bhanu Sharma work for?
Bhanu Sharma works for Stealth
What is Bhanu Sharma's role at the current company?
Bhanu Sharma's current role is Founding Engineer.
What is Bhanu Sharma's email address?
Bhanu Sharma's email address is bh****@****lla.org
What schools did Bhanu Sharma attend?
Bhanu Sharma attended University Of Washington, Netaji Subhas University Of Technology, East Campus, Cambridge School Srinivaspuri, Coursera, University Of Washington.
What skills is Bhanu Sharma known for?
Bhanu Sharma has skills like Python, C++, C, Php, Javascript, Html, Bootstrap, Laravel, Ruby On Rails, Django, Machine Learning, Neo4j.
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Bhanu Sharma
New York, Ny4gmail.com, ayco.com, ayco.com, morganstanley.com1 +151888XXXXX
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Bhanu Sharma
Burlingame, Ca2gmail.com, maker.me5 +140848XXXXX
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