Rahul Sathe

Machine Learning Engineer

Nagpur, Maharashtra, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in data science and AI.
Hands-on experience with machine learning models.
Proficient in high-performance C++ projects.

Stackforce AI infers this person is a Data Scientist with expertise in AI and Machine Learning across Fintech and AI industries.

Contact

Skills

Core Skills

Machine LearningModel DeploymentData Science

Other Skills

AWSAmazon Web Services (AWS)Automated TradingBacktestingCollaborative FilteringContent-Based FilteringContinuous Integration and Continuous Delivery (CI/CD)Customer ChurnData AnalysisData AnalyticsData CleaningData ManipulationData ModelingData ValidationDeep Learning

About

With a Postgraduate degree in Mathematics, I have a strong foundation in data science, machine learning, and AI. My journey began with an 11-month internship in data science, where I gained hands-on experience in data-driven problem-solving, predictive modeling, and statistical analysis. I work on high-performance C++ projects: ring buffers, lock-free queues, and basic order book simulators. I'm looking for a C++ / Trading Tech / Market Data Engineering role where performance matters more than experience. 🔍 Key Skills: *Orderbook knowledge. *Machine Learning . *Python, C++, Multithreading *Backtesting 📩 Let’s Connect: [ Email:rahulsathe1299@gmail.com Contact:7028917454]

Experience

The coding cult

Jr.AI/Ml developer

Feb 2025 – May 2025 · 3 mos · Hyderabad, Telangana, India · Remote

🔹 Domain: AI, Machine Learning, and Model Deployment
Responsibilities:
✅ Developing and training machine learning models for real-world applications
✅ Working on Recommendation Systems using Collaborative Filtering, Content-Based Filtering, and Hybrid Models
✅ Deploying ML models using Docker, FastAPI, and cloud services (AWS)
✅ Optimizing model performance and implementing feature engineering techniques
✅ Working with NLP and Deep Learning projects
✅ Collaborating with the team to integrate AI solutions into production systems
Tech Stack:
🔹 Programming: Python (Pandas, NumPy, TensorFlow/PyTorch, Scikit-Learn)
🔹 Model Deployment: FastAPI, Docker, Kubernetes
🔹 Data Handling: SQL, MongoDB, Pandas
🔹 Cloud Services: AWS(EC2, Lambda, S3)
🔹 Version Control: Git, GitHub
Excited to learn, build, and deploy AI-driven solutions.

Machine LearningModel DeploymentRecommendation SystemsNLPDeep LearningDocker+1

Self-employed

Freelance Data Scientist

Mar 2024 – Jan 2025 · 10 mos · Remote · Remote

Worked with 3 clients across domains such as finance and healthcare.
Built ML models for customer churn, fraud detection, and recommendation systems.
Developed dashboards using Power BI and deployed models using Flask & Streamlit.
Tech stack: Python, Scikit-learn, XGBoost, SQL, Flask, Fast Api, Git, Docker

PythonScikit-learnXGBoostSQLFlaskFastAPI+3

Softtronix it solution

Intern Data Scientist

Feb 2023 – Jan 2024 · 11 mos · Nagpur, Maharashtra, India · On-site

During my immersive data science internship spanning over a year, I honed my analytical skills and gained practical experience in leveraging data to derive valuable insights. My responsibilities included data cleaning, feature engineering, and model development, showcasing my proficiency in Python, Flask, Django and relevant data science libraries.Through collaboration with cross-functional teams, I effectively communicated complex findings, demonstrating both technical expertise and the ability to convey insights to non-technical stakeholders. This internship has solidified my foundation in data science and enriched my problem-solving capabilities in a dynamic, hands-on environment.I also have familiarity with cloud platform like AWS.

Data CleaningFeature EngineeringModel DevelopmentPythonFlaskDjango+2