Machine Learning Supply Chain

DEEPIKA SINGARI VELU

************@*****.*** +1-413-***-**** www.linkedin.com/in/deepu17 Amherst, MA EDUCATION

University of Massachusetts Amherst September 2023 - May 2025 Master’s in Computer Science 3.8/4.0 GPA

Software Engineering • Applied Information Retrieval • Machine Learning • Reinforcement Learning • Advanced Natural Language Processing Dr. Ambedkar Institute of Technology July 2017 - April 2021 B.E, Electronics and Telecommunication Engineering 8.97/10.00 GPA Data Structures • Computer concepts & C programming • Object Oriented Programming using C++ • Computer Networks EXPERIENCE

Data Science Intern June-July 2024

CodeClause

• Performed exploratory data analysis and developed predictive machine learning and RAG models to optimize inventory management. Boosted data-driven decision-making for sales promotions, minimized stockouts,resulting in a 50% improvement in overall supply chain efficiency

• Designed & Deployed a intuitive interface for customer data input, utilizing Python, Streamlit, and Scikit-Learn to implement K-Means clustering. Optimized customer segmentation efficiency and precision allowing for more targeted and data-driven marketing strategies. Systems & Software Engineer August 2021 –July 2023 Tata Consultancy Services Ltd. Bangalore, India

• Architected and deciphered the complete GCP infrastructure setup for GCP Data QA migration project, delivered an automated resource platform [Terraform, Google Cloud, Maven, Gradle and CI/CD pipeline]

• Spearheaded cutting-edge software solutions for Consumer Bureau Credit applications for Equifax(USA). Enhanced product application features through automated sequencers using a Spring Boot Java wrapper and C++ applications,resulting in a notable increase in credit files

• Orchestrated the migration of legacy applications to a Kubernetes cloud environment, boosting operational efficiency. Collaborated as a Site Reliability Engineer on GKE system performance analysis and optimization strategies in the cloud Summer Research Project Trainee June 2020 –August 2020 Council for Scientific & Industrial Research, SRTP Bangalore, India

• Incorporated a comprehensive food Agri value cold-chain model using QR code food traction validating the final traceability history graph of the product in transactions leading to an increased product shelf life by 20%[Blockchain, AI]

• Applied ML models to enhance business inspection alerts during shipment, achieving a 70% reduction in manual errors and boosting productivity PROJECTS

Personalized Llama3-based VLM for Enhancing Safe Street Crossing Assistance January 2024 -April 2024

• Evaluated and trained a personalized Visual Language Model based on the Llama3 and Visual Transformer architectures using the Crosswalk dataset to assist blind individuals. Minimized training loss by optimizing hyper-parameters with Lora rank

• Refined object detection in traffic signals using Yolov8s TensorRT, resulting in reduced processing time and Streamlined real-time performance. Achieved better precision through effective scene graph refinement and noisy edges removal in the dog robot Student event tracking systems Using Large Language Models September 2023 - December 2023

• Modelled and collaborated with researchers to design a tracking system that consolidates and categorizes complex critical and non-critical event alerts into concise one-liners and summaries, providing a unified view of relevant events

• Accomplished LLM based extraction pipelines to retrieve event data from[Moodle, Gradescope, and Piazza] and implemented personalized recommendations in UI, making OpenAI calls to Firebase guiding performance grades, scores and attendance for a respective course Camouflage Surveillance Robot In Defense Using Artificial Intelligence September 2021 - April 2022

• Engineered an autonomous wireless multi-functional robot with adaptive concealment technology to minimize detection risks and enhance operational efficiency

• Proposed and executed an AI-expert multi-sensor decision-making system leveraging ML algorithms (Haar-Cascade, Eigenface, LBPH) to enhance reconnaissance efforts, leading to Augmented mission success rates and reduced personnel casualties SKILLS & CERTIFICATIONS

Programming Languages C++, Java, Python, HTML5/CSS, MATLAB, R programming Frameworks / Tools PyTorch, jQuery, Power BI, Tableau, OpenCV, TensorRT, Prompt Engineering Technologies Data Structures & Algorithms, Natural Language Processing, Machine Learning, AI, Artificial Intelligence, Large Language Models, Retrieval-Augmented Generation, Statistics, Modeling, Clustering Cloud Computing Kubernetes, Docker, Terraform, Jenkins, Maven, Helm Charts, GIT, CI/CD,Hadoop,Ansible, Kafka, Site Reliability Engineer, GCP, AWS

Database Oracle, MySQL, PostgreSQL, SQL, MongoDB, Firebase, NoSQL Operating Systems Windows, Linux, Unix, MacOS

Certifications Google Cloud Associate Cloud Engineer, AWS Cloud Practitioner TECHNICAL PUBLICATIONS

• Prashanth CR, Deepika S, Jagruth S, Jalaja M, Rachana SL,”Camouflage Surveillance Robot In Defense Using Artificial Intelligence,” 2022 International Research Journal of Engineering and Technology, 2022

• Krishna K, Deepika S, Deepa RM, Snigdha S, ”Avila Categorization using Machine Learning ”, The 13th International Conference on Computing, Communication and Networking Technologies, 2022

LEADERSHIP & AFFILIATIONS

• Technical Excellence Award, Star of the Month Award - Tata Consultancy Services Ltd

• Inspirational Award Winner and Top 50 Innovator in South India - I-Innovate Online National Hackathon, TSIC

• Engineering Co-Lead, Google Developers Cloud DevFest - Focused on LLMs for creating advisory bots

• Programming Foundations: Object-Oriented Design - LinkedIn

• Technical Mentorship guidance in Machine Learning,Smart Home Integration and Alexa Health Tracker Project Amazon Alexa Challenge 2022

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