Generative AI @ Intel | Cimpress | NYU
11 Years of Experience
Bengaluru, Karnataka, India
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Not Available
As a seasoned AI architect with a wealth of experience, I specialize in developing complex AI models tailored for computer vision and natural language processing (NLP). My expertise is not just limited to AI model development; I also excel in creating robust software systems to deploy these models effectively at scale. My skill set includes advanced data engineering, which allows me to transform intricate AI models into fully operational products seamlessly. Moreover, I possess advanced system design expertise, which enables me to develop intricate systems that cater to the needs of advanced AI solutions. I always focus on delivering these solutions as comprehensive products that offer an exceptional user experience. I am well-versed in implementing DevOps methodologies, ensuring efficient large-scale deployment of applications that leverage AI to its full potential. My deep understanding of AI infrastructure is complemented by my ability to utilize Hybrid Cloud solutions, making me a go-to expert in the field of AI infrastructure. My career has been defined by significant achievements and technical innovation. Most recently, I developed a proprietary algorithm based on Adaptive Learning through Context Learning using Generative AI OpenAI models. This groundbreaking work led to an increase in the accuracy of OpenAI models by more than 50%. I am driven by the pursuit of innovation in AI, aiming to enhance efficiency and automation in complex operations. My comprehensive grasp of the AI domain empowers me to lead the charge in both development and implementation, ensuring that I stay ahead of the curve in this dynamic industry. By merging cutting-edge technology with practicality, I consistently deliver optimized results that redefine the boundaries of AI-driven solutions.
Intel Corporation, SaaS/Cloud Product, Semiconductors
Cimpress
Shippr.in
Intel Corporation, Cimpress, Shippr.in, Aggrigator Inc., Mercury Data Systems
Job Title : Technical Leader - AI(Generative AI)
Company name : Intel Corporation
Period : March 2022 - Present
Summary : • Spearheading a team of AI experts in developing a cutting-edge Generative AI Software Developer Co-Pilot, enhancing coding efficiency with proprietary GenAI algorithms.
• Architecting an innovative Gen AI Co-Pilot, adept at generating automated unit tests, leveraging reinforcement learning, and offering multi-language support for streamlined DevOps integration.
• Pioneering self-improving solutions through self-learning algorithms complemented by user feedback mechanisms.
• Crafting and executing a strategic product vision and roadmap in alignment with organizational objectives and market dynamics.
• Fostering collaboration with cross-functional teams to guarantee the successful launch and market penetration of AI products.
• Serving as a Generative AI thought leader, advising on emerging technologies and best practices within the industry.
• Supervising the creation of advanced Generative AI algorithms to ensure peak performance and scalability.
• Contributing to the creation of a zero-code platform for constructing audio/video media pipelines compatible with various Intel processors and supercomputing environments.
• Implementing best-in-class AI/MLOps practices and tools to secure the longevity and success of data science initiatives.
• Leading the charge in MLOps integration, automating model deployment on Azure Kubernetes, and establishing secure CI/CD pipelines.
• Leading the development of the GStreamer plugin to perform inference of real-time data analytics, including video analytics at scale and store the inference results in a scalable database for debugging models supporting Intel's in-house deep learning framework- OpenVino optimised for CPU
Location : Bengaluru, Karnataka, India
Job Title : Lead Data Scientist
Company name : Cimpress
Period : May 2019 - March 2022
Summary : • Led a robust team of AI experts and software development, driving AI innovation and infrastructure optimization to deliver custom AI solutions for complex business needs.
• Developed Complex in-house AI models utilizing deep learning techniques for artistic style transfer, precise font recognition, and efficient QR code detection and decoding.
• Advanced text analytics with zero-shot classification using BART, AWS text enhancement, and multilingual Named Entity Recognition (NER) development.
• Streamlined AI workflows on AWS, achieving cost-effective model deployment and playing a pivotal role in technical talent acquisition.
• Orchestrated the development of scalable pipelines for AI model hosting on AWS, incorporating both online and offline training, and transitioned to ECS and EKS for improved autoscaling capabilities.
• Engineered robust infrastructure to support large-scale AI models on multi-GPU environments and actively participated in the hiring process for data science and software positions.
Location : Bengaluru Area, India
Job Title : Data Scientist
Company name : Shippr.in
Period : April 2018 - May 2019
Summary : • Spearheaded the creation of an AI-driven Vehicle Route Optimization Algorithm employing multi-constrained discrete optimization and MILP techniques, tailored to adhere to complex business requirements.
• Engineered a Truck Loading Plan algorithm, leveraging unsupervised machine learning to efficiently manage heavy cargo within optimized routes, despite limited classification data.
• Enhanced route optimization realism by incorporating GPS data from fleet vehicles, utilizing DBSCAN clustering and MILP for expedited processing.
• Formulated a Warehouse Management Algorithm to optimize spatial efficiency, applying diverse learning methodologies to solve logistical challenges.
• Currently advancing an algorithm that integrates GPS data with various ML models to further refine route optimization strategies.
• Crafted AI vehicle routing algorithm, enhancing path efficiency with MILP and business constraints.
• Integrated GPS data with ML for realistic route optimization, reducing time with DBSCAN and MILP.
• Devised warehouse management algorithm to boost space use, employing varied learning techniques.
Job Title : Product Development
Company name : Aggrigator Inc.
Period : February 2015 - April 2018
Summary : • Spearheaded the development of Reverse Auction Engine for an agriculture-based online marketplace, leveraging Random Forest Ensemble models to predict bids and optimize farmer selection based on capacity and SKU offerings.
• Engineered and benchmarked multiple classification algorithms, including Logistic Regression, Decision Trees, K-Nearest Neighbors, and Support Vector Machines, to enhance predictive accuracy.
• Implemented K-Means clustering to detect outliers and categorize unlabeled data, improving data integrity and model performance.
• Analyzed farmers' bidding patterns using statistical modeling to refine the auction engine's selection process and maximize participation efficiency.
• Created a Machine Learning-driven Recommendation Engine to match buyers with suitable produce from various food hubs, enhancing customer satisfaction and sales.
• Optimized vehicle routing using A* search algorithm tailored to vehicle size, multi-point pickups, and delivery locations, resulting in cost and time savings.
• Designed an efficient palletization system to accommodate multiple buyers and SKUs, aligning pallet sequences with optimized truck routes for streamlined logistics.
• Managed the USDA CropScape Data web application, processing satellite imagery data for 200 crops with 8 million data points annually, utilizing Python libraries and Hadoop ecosystem tools for scalable data handling.
• Forecasted annual crop production across the United States at a granular level using ARIMA and FB Prophet, leveraging a decade of USDA historical data to inform agricultural planning.
• Developed a web scraping solution to extract USDA Price Lists from 100 HTML pages da
Title : Intel Technical Lead
Period : January 2023 - Present
Summary : credly.com, https://www.credly.com/badges/d1a55375-5c70-4f15-abc0-eca03270d174/linked_in_profile
Issuing Authority : Intel Corporation
Title : Communicating about Culturally Sensitive Issues
Period : November 2020 - Present
Summary : linkedin.com, https://www.linkedin.com/learning/certificates/b457ad2ab6b7d5059a8fcb1f7f07193c512f71ee6388f1a23646f196a1fb030c?trk=backfilled_certificate
Issuing Authority : LinkedIn
Title : Confronting Bias: Thriving Across Our Differences
Period : November 2020 - Present
Summary : linkedin.com, https://www.linkedin.com/learning/certificates/48d7665e40c354373bee058781f1b0896b37177460b1e9a1c3b6db2482cdf503?trk=backfilled_certificate
Issuing Authority : LinkedIn
Title : Unconscious Bias
Period : November 2020 - Present
Summary : linkedin.com, https://www.linkedin.com/learning/certificates/8fb27061465f36d6af7a4479e79359e937cb83a0ef42ed1589dbb27e6b908445?trk=backfilled_certificate
Issuing Authority : LinkedIn
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