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Venkata Satya Sri Ram GiduthuriPHONE NUMBER AVAILABLE EMAIL AVAILABLE github.com/GvsSriRam/ LINKEDIN LINK AVAILABLE EDUCATION* May, 2025 Syracuse University M.S. in Computer Science CGPA: 4.0 / 4.0 June, 2020 Indian Institute of Technology Kharagpur Bachelors & Masters EXPERIENCE HCL Software, India Senior Software Engineer Sep, 2020  July, 2023 Worked as a Machine Learning and Data Engineer in HCL Commerce - Data & AI - R&D division PRODUCT RECOMMENDATION SYSTEMS Created a Collaborative Filtering model, to predict user preferences with 95% accuracy based on implicit feedback in a large product catalogue Built a Content-Based Recommendation model using NLP techniques (TF-IDF, word embeddings) to recommend similar products Enhanced Frequently Bought Together Model recommendations based on Association Rule Mining algorithms resulting in 10% more activity Devised training, fine-tuning, prediction pipelines and utilised Redis store to cache and retrieve recommendations within 10 ms DYNAMIC SEGMENTATION MODEL Designed a multi-label classification algorithm to classify online shoppers into customer segments for precision marketing with 95% accuracy Applied feature selection methods to improve interpretability and achieve an explainable AI, with 18% increase in classification accuracy Employed Deep Auto-Encoders for dimensionality reduction, enhancing computational efficiency by 85% without a significant loss of data DYNAMIC PROMOTION OPTIMIZATION Developed a Multi-Armed Bandit architecture with Epsilon Greedy, UCB, and Thompson Sampling algorithms for dynamic promotions Setup real-time ETL pipelines on Trino with DBT to monitor promotions performance and devised custom metric to maximize conversions DATA ENGINEERING Utilized DBT TRINO views to optimized feature engineering for ML models and reduced prediction latency from 1.6 sec to 600 ms Built macros in DBT to streamline complex SQL operations - one-hot encoding, incremental materialization and improving code reusability Established online & offline feature stores by leveraging FEAST, DBT & TRINO to minimize real-time data retrieval latency to 100 ms BACKEND APPLICATION DEVELOPMENT Engineered generic and configurable Python Fast-API based APIs for ML model training and Node JS APIs to load and serve predictions Setup continuous deployment on Cloud Run, ensuring seamless upgrades from git, horizontal scalability and response times of 20-30 ms PROJECTS Balance AI: AI for Business Analytics Feb, 2024  Present Engineered an LLM chatbot driving actionable insights for business optimization, marketing strategy definition, and dynamic graph plotting. Innovated a robust bi-directional LSTM and HMM-Viterbi model for tailored query responses, enhancing user engagement. Revolutionized revenue forecasting through meticulous time series analysis, automating monthly report generation for clear financial insights. Visual Similarity Recommendations Model June, 2021  July, 2021 Inspired by Visual Similarity Recommendation feature of Adobe Sensei for Adobe Commerce, 2021 release Customized pre-trained keras VGG-16 models input and output layers while keeping weights undisturbed, resulting in accurate predictions Pre-processed and normalized a dataset of 3000 product images to extract visual features and computed similarity to offer recommendations Whisper Wallet: An AI Enhanced Expenses Recognition Model Dec, 2023  Present Developed and tested an Open CV-based expense detection model for generic bills, handling both scanned and normal images Integrated the trained Gemini Pro Vision, an LLM model into the API to accurately parse expenses, quantities, and amounts in generic bills Created a user-friendly web application interface for uploading bills, selecting individuals to split expenses, and displaying the expense share Successfully deployed the model in a production environment and integrated it into the web application SKILLS Languages Python  SQL  C / C++  NodeJS  React  HTML Frameworks TensorFlow  Keras  Kubeflow  Sklearn GCP Services BigQuery  Vertex AI  Cloud Run  Cloud Build Azure Services Databricks  Dolly  Machine Vision Others Docker  Kubernetes  GitHub  SQL Server Data Technologies Kafka  Dataflow  DBT  FEAST  REDIS CERTIFICATIONS & COURSEWORK Design & Analysis of Algorithms Data Analytics Natural Language Processing Machine Learning GCP  Professional Data Engineer Training DBMS AWARDS & ACHIEVEMENTS Secured All India Rank of 4368 in the JEE Advanced (2015) Recipient of Merit-cum-Means scholarship and Ministry of Human Resources Stipend throughout academic journey at IIT Kharagpur EXTRA CURRICULAR ACTIVITIES Succeeded in bringing 12 internships as a Student Internship Representative (2018) for the Department of Civil Engineering, IIT Kharagpur Evaluated reports and conducted laboratory experiments while facilitating as teaching assistant for Concrete Laboratory Organized social campaigns on Women Hygiene, Child Education and Medical Camp as a part of National Service Scheme of IIT Kharagpur