Available for Opportunities  ·  Aurangabad, IN

TEJAS AMDARE

ML Engineer  ·  Cloud Architect  ·  Vision Specialist

Building intelligent systems at the crossroads of machine learning, cloud infrastructure, and computer vision. From training YOLO models to deploying APIs on AWS & GCP — I make machines see, think, and scale.

AWSCloud Expert
GCPVertex AI
CVVision Specialist
PYPython Dev
#1 TOP PICK FOR YOU
T
ML · CLOUD · VISION
01
About Tejas Amdare
WHERE MACHINES
MEET INTELLIGENCE

I'm Tejas Amdare — a technologist who operates at the rare crossroads of Artificial Intelligence, Cloud Engineering, and Computer Vision.

My craft: building systems that don't just run — they think, detect, and scale. Real-time object detection pipelines, serverless ML inference APIs, and cloud-native architectures that handle the real world's messiness.

AWS, GCP, FastAPI, Python — the language I use to turn raw data into decisions, and ideas into infrastructure that lasts.

Specialization
ML & Computer Vision
Cloud
AWS · GCP
Stack
Python · FastAPI
Based In
Aurangabad, IN
MY ARSENAL
Full Tech Stack ›
🧠
Machine Learning
TensorFlow · PyTorch Scikit-learn · Keras Pandas · NumPy Model Training & Tuning
👁️
Computer Vision
YOLO · Object Detection OpenCV · Segmentation Image Classification Real-Time Pipelines
☁️
AWS Cloud
EC2 · S3 · Lambda SageMaker · Route 53 CloudFront · IAM CloudWatch · RDS
🌐
GCP
Vertex AI · Cloud Run BigQuery · GCS Pub/Sub · Dataflow AutoML · AI Platform
Backend Dev
FastAPI · Python REST APIs · Async PostgreSQL · Redis Docker · Nginx
🔧
DevOps
Docker · Kubernetes CI/CD · Terraform Git · Linux · Nginx Monitoring & Logging
FEATURED PROJECTS
01
Featured Project · 01
REAL-TIME OBJECT
DETECTION ENGINE
Production YOLO-powered vision pipeline deployed on AWS EC2. Processes live video streams with multi-class detection at high FPS, served through blazing-fast FastAPI endpoints with WebSocket streaming support.
Python
YOLO
FastAPI
AWS EC2
OpenCV
02
ML MODEL SERVING PLATFORM
Scalable GCP Vertex AI inference platform with A/B testing, versioning, and 40% latency reduction via optimized batch prediction pipelines.
GCPVertex AITensorFlow
03
INTELLIGENT API BACKEND
High-throughput async FastAPI backend with Redis caching, JWT auth, and PostgreSQL — purpose-built for ML inference at scale.
FastAPIRedisPostgreSQL
04
CLOUD-NATIVE DATA PIPELINE
End-to-end AWS pipeline: S3 ingestion → Lambda triggers → SageMaker training → automated model deployment with Terraform IaC.
AWS LambdaSageMakerTerraform
05
VISION ANALYTICS DASHBOARD
Real-time analytics dashboard for CV model outputs — detection confidence scores, stream metrics, and live annotation overlays.
PythonOpenCVWebSocket
MY JOURNEY
2024
Present
ML & CLOUD ENGINEER
Independent / Freelance
Designing and deploying end-to-end ML solutions — computer vision pipelines, NLP models, and cloud automation for real-world clients. Building production FastAPI backends and orchestrating cloud infrastructure across AWS and GCP.
Machine LearningAWSGCPFastAPIPythonDocker
2023
2024
COMPUTER VISION DEVELOPER
Research & Project Work
Deep focus on training and optimizing object detection models with YOLO architectures. Built real-time video analytics systems, image segmentation pipelines, and edge-deployment optimization for low-latency vision inference.
YOLOOpenCVPyTorchTensorFlowObject Detection
2022
2023
PYTHON BACKEND DEVELOPER
Building & Learning
Foundations in REST API design, async Python programming, and database architecture. Built production-ready FastAPI services and first cloud deployments on AWS EC2 — developing the engineering instincts that now drive every project.
PythonFastAPIPostgreSQLDockerAWS EC2
LET'S BUILD
SOMETHING
REAL
Open for projects, collaborations & opportunities
DOWNLOAD MY RESUME
Full overview · Experience · Skills · Achievements
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