Resume

Resume

Work Experience

Software Engineer – AI/ML, Sony India Software Centre, Bengaluru, Karnataka, Aug 2024 – Present

  • Developed and executed proof of concepts (POCs) for various computer vision tasks, ensuring user data privacy.
  • Contributed to the development of deep learning model deployment techniques on edge devices, reducing processing time strict memory and power constraints.

Trainee – AI/ML, IIT Madras Pravartak, Chennai, Tamil Nadu, Feb 2024 – Aug 2024

  • Evolved expertise from statistics and machine learning to mastering deep learning, particularly transformers.
  • Crafted 4 innovative projects that seamlessly blend theory with practical applications, yielding tangible impacts.
  • Designed a capstone project that integrates video captions using deep learning, thereby enhancing accessibility.

Associate Software Engineer – I, HighRadius, Hyderabad, Telangana, Jul 2022 – May 2023

  • Spearheaded the initial design and development of the new O2C product, tailored for the Mid-Market space.
  • Revamped Java API, reducing response time by 40% and elevating user satisfaction by enhancing performance.
  • Collaborated with collections team as a full stack developer, specializing in Java backend development.

Product Intern – Data Science, HighRadius, Bhubaneswar, Odisha, Aug 2021 – Jun 2022

  • Revolutionized client’s deductions management system, reducing manual efforts by 70% with ML algorithms.
  • Engineered an AI-powered B2B invoice management app, accurately predicting payment dates for efficiency.
  • Led the integration of advanced technologies, driving operational excellence and enhancing client satisfaction.

Projects

MediCompanion RAG Application, Sep 2024 – Oct 2024

  • Developed an interactive healthcare chatbot using LangChain and LLaMA 3.2 for health and fitness inquiries.
  • Engineered document retrieval and embedding workflows to ensure accurate and timely information delivery.
  • Enhanced user engagement with advanced conversational AI, empowering informed health decisions.

YoloV1 Object Detection Implementation, Mar 2024 – Apr 2024

  • Implemented a YoloV1 object detection model for real-time applications using PyTorch with custom utilities.
  • Developed efficient dataset handling and training workflows, optimizing model training and evaluation.
  • Utilized MLflow for experiment tracking, logging metrics, and visualizing model performance efficiently.

AI-Driven Fintech B2B Invoice Management Application, Jun 2021

  • Created a payment date prediction model using Python for open invoices.
  • Utilized SQL for data storage.
  • Constructed the user interface with ExtJS and Java, successfully deploying the model.

Education

B.Tech in Electronics and Communications Engineering (Hons.), Lovely Professional University, Punjab, India
Graduation: June 2022

  • CGPA: 8.44
  • Relevant Coursework: Introduction to Artificial Intelligence, Digital Signal Processing, Database Management System, Workshop on Image Processing, Computer Programming, Data Structures and Algorithms

Certifications

  • Data Analyst Nanodegree (Udacity)
  • IBM Data Science Specialization (Coursera)
  • Deep Learning Specialization by deeplearning.ai (Coursera)
  • Docker Foundations Professional (Docker, Inc) and 20+ more

Skills

Programming Languages & Tools: Python, C/C++, JavaScript, SQL, Kubernetes, Docker, AWS
ML Frameworks & Libraries: TensorFlow, PyTorch, ONNX, Scikit-Learn, NumPy, Pandas, PySpark
Generative AI Tools: Transformers, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG)
Soft Skills: Problem Solving, Continuous Learning, Leadership, Public Speaking, Time Management, Collaboration