Dheeraj Sharma

Software Engineer Intern | Machine Learning & IoT Specialist

Jaipur, IN.

About

Highly motivated Software Engineer Intern with a strong foundation in Machine Learning, IoT, and DevOps, currently driving real-time inference solutions and reducing system downtime by 25%. Possessing a proven ability to design and implement robust ML pipelines, automate CI/CD processes, and develop impactful, data-driven applications, I am seeking to leverage my expertise in a challenging Software Engineer or ML Engineer role.

Work

Sonar Instruments and Technology Pvt Ltd

|

Software Engineer Intern

Not Specified, Not Specified, India

→

Summary

Currently contributing as a Software Engineer Intern, focusing on ML pipeline development, system optimization, and CI/CD automation for IoT solutions.

Highlights

Engineered ML pipelines for predictive maintenance on IoT streams, processing over 20,000 events daily for real-time inference via FastAPI and reducing system downtime by 25%.

Trained and evaluated machine learning models using TensorFlow and scikit-learn, achieving a 12% increase in F1 score and an 18% reduction in false alarms.

Implemented robust drift monitoring and feature validation strategies, stabilizing weekly model performance and reducing retraining cycles by 30%.

Automated CI/CD pipelines for ML deployments leveraging GitHub Actions and Docker, significantly shrinking release times by 40%.

Education

Manipal University, Jaipur

Jaipur, Rajasthan, India
→
Master Computer Applications Grade: 8.74 CGPA

Chaudhary Charan Singh University

Not Specified, Not Specified, India
→
Bachelor Computer Applications Grade:

Certificates

Google IT Support Specialization

Google

System Administration and IT Infrastructure Services

Google

Software Engineering Specialization

University of Hong Kong

Skills

Programming Languages

Python, SQL, JavaScript.

Backend & APIs

FastAPI, Flask, REST APIs, Docker, GitHub Actions, OOP.

Data Engineering

pandas, NumPy, PySpark, Databricks, ETL Pipelines, Data Lakehouse, Power BI.

Cloud & DevOps

AWS (EC2, S3, Lambda, Redshift, SageMaker, IoT Core), Kafka, CI/CD.

Machine Learning & AI

scikit-learn, TensorFlow, Hugging Face, LangChain, RAG, MLflow.

Databases

PostgreSQL, MySQL.

Projects

Binance Futures Trading Bot (Testnet)

→

Summary

Engineered a high-performance trading bot for Binance Futures (Testnet) to automate market, limit, and stop-loss orders, reducing latency and manual errors.

IoT-Driven Smart Agriculture and Precision Farming with Machine Learning Integration

→

Summary

Developed an IoT-driven smart agriculture system integrating machine learning for real-time monitoring and predictive maintenance, enhancing farm efficiency.

Bitcoin Sentiment & Trader Performance Analysis

→

Summary

Created a sentiment analysis system to predict profitable Bitcoin trades, leveraging LangChain for real-time risk assessment and enhanced decision-making.

Gym Management System

→

Summary

Developed a cross-platform gym management application using Flutter and Firebase, enhancing user engagement and administrative efficiency.