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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE Amherst, MA EDUCATIONUniversity of Massachusetts Amherst September Street Address - May 2025 Masters in Computer Science 3.8/4.0 GPASoftware 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 EXPERIENCEData Science Intern June-July 2024CodeClause 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 PROJECTSPersonalized 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 & CERTIFICATIONSProgramming 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, AWSDatabase Oracle, MySQL, PostgreSQL, SQL, MongoDB, Firebase, NoSQL Operating Systems Windows, Linux, Unix, MacOSCertifications 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, 2022LEADERSHIP & 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 |
