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Sasank Nukala

Sasank Nukala

Backend Developer | Machine Learning Engineer

Vijayawada, India

Graduating May 2026 · Open to full-time roles

I build backend systems for computer vision and ML workloads — training pipelines, inference APIs, and the infrastructure that keeps models running reliably in production.

Skills & Tools

PythonJavaSQLDjango REST FrameworkSpring BootSpring CloudMicroservicesPyTorchDeep LearningYOLOTransformersLLMsVector DatabasesModel Fine-tuningLangChainRetrieval-Augmented Generation (RAG)Data AnnotationGit

Projects

Tennis Match Analysis System
Tennis Match Analysis System
Real-time computer vision pipeline that tracks players, the ball, and court geometry from match footage. YOLO handles player and court keypoint detection; a TrackNet model trained on PyTorch + CUDA recovers the high-speed ball trajectory frame-by-frame.
PyTorchCUDAOpenCVYOLOTrackNet
Website
ML Drift Detection & Monitoring System
ML Drift Detection & Monitoring System
Built a monitoring system to track model performance and detect distribution changes in production data. The system continuously analyzes incoming data streams and compares them with training data distributions to identify potential drift.
PythonPyTorchDeep LearningStatistics
GitHub
Agriculture Trading Platform For Farmers And Retailers
Agriculture Trading Platform For Farmers And Retailers
Spring Boot microservices platform connecting farmers directly with retailers — service-to-service communication via Spring Cloud, and a React frontend for listing produce, placing orders, and tracking transactions end-to-end.
Spring BootSpring CloudReactMicroservices
GitHub
Resume Intelligence & Job Recommendation Platform
Resume Intelligence & Job Recommendation Platform
AI-powered platform that analyzes resumes, extracts key information, and generates intelligent summaries and insights. Utilizes NLP pipelines to process resume documents and provide structured outputs for easier candidate evaluation.
LangChainRAGPyTorchLLMs
GitHub

Experience

AI Engineer Intern

Internship

SmartX Technologies

Jan 2025 – Sep 2025 · 9 mos

  • Cut model training time by 60% by architecting distributed training across multi-GPU workloads.
  • Stood up MLOps foundations — automated testing, monitoring, and continuous deployment for production ML models.
  • Shipped REST APIs serving model inference and structured analytics data to downstream services.
PythonPyTorchOpenCVAzureAWSMLOps

Python Developer Intern

Internship

Infosys Springboard

Mar 2024 – Jun 2024 · 4 mos

  • Built a payroll management backend end-to-end in Django REST Framework, covering API, data, and scheduling layers.
  • Designed relational schemas from scratch and secured APIs with JWT-based authentication.
  • Automated recurring payroll workflows using Celery, eliminating manual scheduling and reducing operator overhead.
PythonDjango REST FrameworkCeleryPostgreSQL

Education

Lovely Professional University

Bachelor of Technology in Computer Science - Specialization in Machine Learning & AI

2022 - 2026

Coursework in deep learning, computer vision, operating systems, and database systems. Capstone thesis on "Scalable Neural Architecture Search for Edge Computing Devices", exploring automated model optimization for resource-constrained inference.

ANU Junior College

Intermediate (MPC) - Mathematics, Physics & Chemistry

2020 - 2022

Higher secondary education in the MPC stream, building the mathematics and physics foundation that underpins later work in machine learning and systems engineering.

Certifications & Achievements

Get in touch

Open to backend and ML engineering roles. Email or message me on LinkedIn — I usually reply within a day.

shashanknukala7@gmail.comMessage on LinkedIn