Deepak Gopalakrishnan

Experience

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  Verifone

  Jul 2009 - May 2010

  Software Engineer

  Develop and deploy mobile payment solutions for various clients across the globe.Develop a suite that will be able to play back payment cases remotely.

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  Dell Technologies

  May 2010 - May 2011

  Software Engineer

  - Dell Config Team Solutions: Provided innovative solutions to enhance Dell's famous "Configure the Laptop" team.- POC Development: Created proof-of-concept versions of Dell's Mobility solution for Android, showcasing cutting-edge functionality and user experience enhancements.

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  AddThis

  May 2011 - Dec 2014

  Artificial Intelligence Engineer

  Developing AI Architecture for AddThis:- Leading the design and implementation of data classification and URL recommender systems.- Integral member of the Machine Learning/Deep Learning team, enhancing predictive capabilities and personalization strategies.

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  Dexlock

  Nov 2014 - now

  Co-founder and Chief Technology Officer
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  ZoomInfo

  Dec 2014 - Apr 2020

  Principal Engineer | Principal Machine Learning Consultant

  Scalable AI Solutions for AdTech:Look-Alike Modelling:- Feature Engineering: Extract relevant features from user data (demographics, behavior).- Similarity Algorithms: Use cosine similarity, K-means clustering for finding look-alikes.- Model Training: Train models using Scikit-learn, TensorFlow on large datasets.Behavioral Prediction:- Historical Data Analysis: Use time-series analysis to predict future behavior.- Deep Learning Models: Implement LSTM and GRU networks for sequential data.Intent Derivation:- User Interaction Analysis: Analyze clicks, searches, and engagement metrics.- Contextual NLP Models: Use transformers like BERT to understand user intent from text data.- Probabilistic Models: Bayesian networks to infer intent probabilities.Fraud Detection:- Anomaly Detection: Use Isolation Forest, Autoencoders to detect unusual patterns.- Behavioral Analytics: Track user behavior for inconsistencies.- Graph Analysis: Identify fraudulent connections using graph-based models.Other Use Cases:- Personalized Advertising: Tailor ads based on user behavior and predicted interests.- Real-Time Bidding Optimization: Enhance RTB platforms with predictive models.- Customer Segmentation: Segment users for targeted marketing using clustering techniques. Show less

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  LeapAnalysis

  Jan 2019 - Sept 2021

  Principal Architect

  - Developed Core AI Solution: Engineered the patented AI architecture behind Leapanalysis, interconnecting diverse data sources to provide a unified querying experience across data fabrics and data meshes.- Leadership: Head of the architecture team at Leapanalysis, driving innovation and strategic direction.- Machine Learning Integration: Empowering users to apply Machine Learning and Artificial Intelligence across data silos.- Pharma Applications: Utilized by pharmaceutical companies for advanced drug discovery, leveraging interconnected data for insights and breakthroughs. Show less

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  Paperhack

  Feb 2020 - Jul 2022

  Co-Founder

  - Fact-checking to counter LLM hallucinations- Plagiarism detection- Partial text rewriting- Ability to dodge AI content detectors- Utilizes a non-OpenAI model- Citation generation

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  Kliqe

  Oct 2023 - now

  Co-Founder

  - Conscious Consumerism Insights: Understand brand commitments to various philosophies and causes you care about.- Mobile App Product Scanning: Scan products to instantly view the brand’s ethical commitments and sustainability practices.- Chrome Extension: Access brand commitment information while browsing the web, enhancing your online shopping experience.- Cause Alignment: Discover which brands align with your values, such as environmental sustainability, social justice, and fair trade.- User-Friendly Interface: Seamlessly integrated tools for both mobile and desktop use to promote informed purchasing decisions. Show less