Swoyam Siddharth Nayak
Professional Experience
FixIt Pvt. Ltd., AI Intern (MLOps & GenAI)•Achieved a 7x Reduction in transcription generation time by implementing multi-threading techniques. •Designed and Developed over 10 REST APIs to handle CRUD operations and manage file processing efficiently in the backend.
Aug 2024 – PresentRemote
Oracle Netsuite Inc., Project Intern
May 2024 – Jul 2024Hyderabad, India
EzTruck Co., Jr. Flutter Developer
Jul 2023 – Oct 2023Bhubaneswar, India
Education
IIIT - Bhubaneswar, Bachelors in Computer Science Engineering (B.Tech)
8.14 CGPA (post 6th Semester)
2021 – 2025Bhubaneswar, India
Kendriya Vidyalaya no.3, Mancheswar, Intermediate
95%
2018 – 2021Bhubaneswar
Projects
Sifra - Personal AI Assistant, (Gen AI, MongoDB, FastAPI)•Features: An AI assistant that offers a highly personalized experience by remembering and utilizing the context of past interactions, enhancing natural conversation flow and efficiency in daily tasks. •Impact: Sifra was able to support over 1,000 users in real-time, providing personalized, natural interactions while implementing safeguards against misuse and maintaining comprehensive conversational memory for each user.
IIIT-Everything (Academic Resource Management Portal), (MongoDB, FastAPI, ReactJS)•Features: Implemented 10+ POST and GET requests to communicate with the backend server. •Impact: Relieved cloud storage of our organization by shifting all the files from Drive to the native backend server relieving around 100GB+ on Cloud Storage
Publications
Precision Agriculture: ML and DL-based Detection and Classification of Agricultural Pests
Harnessing the power of machine learning and deep learning for the early detection and classification of agricultural pests, our research aims to revolutionize pest management practices and enhance agricultural sustainability.
Nov 2023
Skills
Languages
Python, C, C++, Dart
Technologies
Git & GitHub, Android Studio, Flutter, FastAPI, UI/UX, Hugging Face, NLP, Azure (VM Service)
Achievements
Semi Finalist - Flipkart GRiD 4.0
Led a successful smart buy suggestions project, utilizing a machine-learning model, ranked among the top 1335 out of approximately 48,000 nationwide teams.
Aug 2021Bhubaneswar, India