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[OK] Neural networks initialized
[OK] GPU cores loaded
[OK] Low-latency optimizations enabled
[WARN] Coffee levels critically low
[OK] System ready
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whoami
class Developer:
def __init__(self):
self.name = "Saiprasad Toshatwad"
self.role = "Data Scientist | Backend Developer | ML Engineer"
self.current_position = "Software Development Engineer (SDE)"
self.company = "Cranberry Analytics"
self.location = "Pune, Maharashtra, India"
self.specialization = [
"Backend Infrastructure", "AI/ML Solutions",
"Data Science"
]
self.interests = [
"GPU Specific Algorithmic Tuining", "Low-Latency Systems",
"FPGA Low-Latency Applications", "Coffee", "HomeLabs"
]
Spearheading the development and management of the company's backend infrastructure, ensuring seamless functionality and scalability. Focus on building AI solutions and optimizing system performance.
Go
Python
Backend Development
Infrastructure
Scalability
AI/ML
Performance Optimization
Low-Power Computing
+10 skills
Worked as a Golang developer, building scalable backend services and APIs. Gained experience in distributed systems and cloud technologies.
Python
AWS Lambda
Golang
Backend Development
+1 skill
Team member in generative design team for a research project. Implemented deep learning on dwg, dxf files to automate the circuit design process. Worked on AI-driven solutions for electrical circuit automation.
Generative AI
Data Science
Deep Learning
Automation
+6 skills
Created AutoML pipeline for machine learning training and deployments. Developed automated solutions for ML model lifecycle management and streamlined the deployment process.
Pandas
Python
AutoML
Machine Learning
MLOps
+5 skills
[LANGUAGES]
Python • Go • C • Rust(Newbie) • Verilog(Newbie)
Assembly(Newbie) • HIP(AMD C++ Runtime API) • C++
[AI/ML_STACK]
TensorFlow • PyTorch • Scikit-Learn
XGBoost • NumPy • Pandas • OpenCV
AutoML • MLOps • Deep Learning
[BACKEND_DEV]
Golang • Gin/Gonic • Echo • Fiber
FastAPI • Flask • RESTful APIs
Microservices • Distributed Systems
[CLOUD_&_DEVOPS]
AWS • AWS Lambda • Docker • Kubernetes
Linux • GitHub Actions
Infrastructure as Code
[DATABASES]
PostgreSQL • Milvis • Cassandra
Nebula(Knowledge Graph DB) • Redis • MQTT
Backend Infrastructure
Developing and managing scalable backend infrastructure with focus on
performance, reliability, and seamless functionality across distributed systems.
Golang
Python
Microservices
APIs
AI/ML Solutions
Creating AI solutions for LocalAI applications, implementing deep learning
and Generative AI models to automate workflows
TensorFlow
PyTorch
AutoML
MLOps
Cloud & DevOps
Building scalable cloud solutions using AWS services, implementing
serverless architectures with Lambda, and managing containerized applications.
AWS
Lambda
Docker
DevOps
Data Science & Analytics
End-to-end data science projects from data collection to deployment,
specializing in predictive modeling and statistical analysis.
Python
Pandas
Statistics
Analytics
exit
Connection terminated. Remember: "The best code is the code that doesn't exist,
but when it must exist, make it fast." - Anonymous Systems Programmer