Purushottam Reddy Chinthakuntla
Professional Experience

Associate Software Engineer

MaTrack.inc (Sieva Networks)
Mar 2024 – presentSan Francisco, U.S.A (Remote)
  • •Led development of a multi-tenant, enterprise-grade CRM platform, improving operational efficiency by 40% through email/SMS marketing, onboarding workflows, and agent/customer portals.
  • •Implemented integrations with Twilio, SendGrid, and Jupico, enabling automated calling, payment tracking, and installment management, cutting manual communication tasks by 60%.
  • •Architected customer import, workflow automation, and custom template systems, boosting customer engagement and payment collection by 30% across multiple trailer companies.
  • •Built a unified communication and dealer-management solution, streamlining contracts, payments, and customer interactions, and supporting seamless scaling to multiple tenants and hundreds of users.

    • Tech Stack: FastApi, PHP, JavaScript, HTML, CSS, Twilio, Jupico, Docker, Apache, AWS

    Education

    Bachelor of Technology in Computer science (CGPA:7.96)

    2020 – 2024 | Amritpuri

    Amrita School of Computing

    Senior Secondary (GPA:9.1)

    2018 – 2020 | Vijayawada

    FIITJEE Junior College

    Secondary School (Percentage:88%)

    2017 – 2018 | Nandyal

    The Nandyal Public School

    Skills
    Programming: Python, PHP, HTML, CSS, JavaScript, Ajax, jQuery, Frameworks/Libraries: Frappe, Odoo, FastAPi, Next JS, React, Django, Cloud: Azure, GCP, Tools: VS Code, Linux, GIT, Docker, Unity, Databases: PostgreSQL, MySQL
    Internships

    Software Developer Intern

    ICTS, Amrita school of computing
    Dec 2022 – May 2023 | Kollam
  • •Developed a neonatal care web application for Amrita Hospital (Kochi), improving data entry and retrieval speed by ~35% through LLM-based automation, reducing manual documentation load for clinicians.
  • •Fine-tuned Llama-2-7B on ~3,000 neonatal attributes, increasing model accuracy and clinical insight relevance by ~22% through optimized training and preprocessing pipelines.
  • •Built natural-language-to-SQL query generation that enabled clinicians to fetch patient data 3× faster compared to manual searches, significantly improving clinical turnaround times.
  • •Enhanced early diagnosis workflows by implementing similarity-based patient clustering, enabling identification of infants with matching disease traits ~40% faster and reducing diagnostic delays.

    • Tech Stack: Frappe , Llama-2-7B, PyTorch, Frappe, LLM Fine-tuning, NLP, Prompt Engineering

    Azure Apprenticeship

    Future Ready Talent
    May 2022 – Jun 2022 | (Virtual)
  • •Built talkToLocals, a cloud-based platform deployed on Azure App Services, enabling real-time connections between travelers and local guides and improving communication efficiency by 30% through location-based insights.
  • •Integrated Azure Machine Learning models to deliver personalized recommendations and automate traveler–local interactions, reducing manual coordination efforts.
  • •Gained hands-on experience with major Microsoft Azure services, including App Services, Azure Functions, Azure SQL, Blob Storage, and Azure ML, completing and submitting a full end-to-end cloud project with deployment, monitoring, and version control.

    • Tech Stack Used: Azure App Services, Azure ML, Azure Functions, Azure SQL, Blob Storage, Django, ReactJS, REST APIs, Cloud Deployment & Monitoring

    Projects

    Mixed Reality Application for Immersive Exploration of Moovar Kovil

    Major Project
    Apr 2023 – Feb 2024
  • •Integrated a detailed 3D reconstruction of the Moovar Kovil temple into the HoloLens mixed-reality environment, ensuring stable placement, proper scaling, and accurate spatial alignment for real-world viewing.
  • •Designed an interactive MR learning experience that improved cultural engagement and understanding among test users, supporting heritage education and digital preservation.
  • •Optimized scene rendering, lighting, and interactions in Unity, reducing frame drops and improving overall responsiveness on HoloLens hardware.
  • •Validated the app through iterative feedback from academic experts and user testing sessions, ensuring historical accuracy, technical stability, and contextual sensitivity appropriate for cultural heritage content.

    • Tech Stack: Unity, Microsoft HoloLens, Mixed Reality Toolkit (MRTK)

    Sapota Ripeness detection , shelf life prediction and Bruise Detection

    Mar 2022
  • •Developed deep-learning models combining thermal imaging and RGB image analysis to classify sapota ripeness levels and predict shelf life, achieving ~88% accuracy in ripeness detection.
  • •Collected and preprocessed a custom dataset of sapota fruit samples, applying augmentation, normalization, and noise reduction steps, which improved model robustness and reduced overfitting by ~20%.
  • •Engineered a custom CNN with transfer learning to perform multi-stage classification (unripe, ripe, overripe), improving prediction consistency across varying lighting and temperature conditions.
  • •Implemented a hybrid SVM + MobileNet bruise detection pipeline, increasing detection precision by ~15% compared to baseline CNN models and enabling early identification of damaged fruit.

    • Tech Stack: Python, TensorFlow , Custom CNN, SVM, Thermal Imaging, OpenCV, Image Preprocessing, Data Augmentation, Model Optimization

    Music recording system

    Dec 2021
  • •Led a team of four to develop a Windows-based desktop application for recording companies, coordinating feature planning, task allocation, and development workflows.
  • •Built the core application using Java Swing for the UI and JDBC + PostgreSQL for data storage, ensuring stable CRUD operations and consistent user experience.
  • •Implemented secure modules for managing artists, albums, songs, contracts, and related metadata, improving data organization and retrieval for internal teams.
  • •Enhanced data integrity and system reliability through structured schema design, validation rules, and transaction-safe operations, reducing database errors during testing.

    • Tech Stack: Java, Swing, JDBC, PostgreSQL

    Areas of interest
    Cloud computing, Full stack development, Competitive programming, Generative AI
    Volunteering experience

    ICPC Double site Regional contest

    Amrita Viswa Vidyapetham
    Oct 2022 | Amritpuri
  • •Facilitated travel logistics for ICPC contestants nationwide to Amrita University
    • Publications

    “KovilLens: A Mixed Reality Application for Digital Preservation and Exploration of Moovar Kovil” Accepted at the 11th International Conference on Virtual Reality (ICVR 2025), Wageningen, Netherlands, July 2025.

    Languages

    Proficient in writing, speaking, and understanding Telugu, English, and Hindi.