Hello, I'm Jeeva Krishnasamy 👋
A dedicated professional with expertise in information science, engineering, and business administration. Passionate about leveraging technology and innovation to solve complex problems and drive impactful solutions.
Featured
RTU Detection Platform – Demo & Recognition
Airoverse recognized the team of University of Pittsburgh graduate students for developing an AI-powered RTU Detection Platform as part of the PA-RTF fellowship.
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Education
Master of Science in Information Science
University of Pittsburgh, Pittsburgh, PA
04/2025
GPA: 3.8
Master in Business Administration
Tamil Nadu Agricultural University, Coimbatore, India
09/2019
GPA: 3.0
Bachelor of Engineering in Electrical and Electronics Engineering
Anna University, Chennai, India
04/2013
GPA: 3.5
Experience
Experience
Course Facilitator
University of Pittsburgh, Pittsburgh, United States
- Mentored 300+ students in Python, Tableau, and Power BI, improving data analytics project completion rates by 20% through effective data quality and transformation processes.
- Supervised 10+ project teams in the application of ML components and algorithms (scikit-learn, TensorFlow) on real-world datasets, ensuring reliable data processing and analysis.
- Managed student queries and ticketing using Salesforce, streamlining issue resolution and embedding new procedures with attention to detail.
Software Developer
Airoverse, Pittsburgh, United States
- Developed an AI-powered HV AC detection platform using Python, FastAPI, and React.js, to generate business leads in an agile environment, demonstrating ownership and business acumen.
- Trained object detection models (YOLOv8, RF-DETR), achieving 90% precision and 80% recall on satellite imagery.
- Integrated cloud APIs (Google Maps, Roboflow), enabling automated real-time data collection on different building tags, supporting data pipelines and trustworthy data sources.
- Reduced manual HV AC detection time and operational costs by 90%, significantly enhancing lead generation efficiency.
Data Automation Engineer
Shraddha Engineering and Facility Services, Coimbatore, India
- Led deployment of IoT and automation across 15+ facilities, collecting and analyzing sensor data with advanced analytical techniques, saving 2,000+ hours through efficient data cleansing.
- Developed real-time equipment monitoring tools, reducing equipment downtime by 30% and improving maintenance planning.
- Automated ETL and reporting workflows, reducing data processing times by 50% and supporting timely, data-driven decision making and transformation.
Systems Analytics Engineer
Blue Star Limited, Coimbatore, India
- Implemented ML-driven predictive maintenance for Industrial systems using Python, Pandas, reducing failures by 22% and enhancing data quality and trustworthy processes.
- Designed and integrated PLC/SCADA-based automation for 25+ industrial projects, increasing operational efficiency by 18%. Led a cross- functional team of 10 to deliver data analytics solutions, including sensor network deployment and detailed documentation.
Automation Engineer
Chennai Engineering Services, Coimbatore, India
- Automated data acquisition and reporting for industrial clients using Python, SQL, increasing reliability by 15% through effective data transformation and quality processes.
- Developed and deployed control logic for commercial electrical projects, integrating digital workflows with business systems. Documented and optimized software processes, accelerating project delivery timelines by 10% and supporting agile transformation and team player dynamics.
Projects
RTU Detection Platform (YOLOv11, RF-DETR, GCP)
Designed and deployed a full-stack rooftop HVAC detection system using satellite imagery and AI. Combined YOLOv11 and RF-DETR for model inference and integrated Google Maps APIs. The system was built with FastAPI, Docker, and deployed to GCP with automated CI/CD workflows.
View DetailsStock Bull Trading Platform (EJS, Express, Node.js, MongoDB, WebSockets)
Built a full-stack virtual stock trading platform with real-time data retrieval and portfolio management. Used WebSockets for live updates and MongoDB for efficient data storage.
View DetailsOption Pricing Application (Python, Dash, NumPy)
Developed a dashboard for option pricing using Monte Carlo simulations and the Black-Scholes model. Integrated yfinance API for real-time stock data.
View DetailsSecure Mobile Health App (Java, Firebase, GCP)
Implemented encrypted record outsourcing to ensure data privacy and compliance with industry standards. Integrated proximity-based access control using Google Cloud APIs, enabling secure and location-aware user authentication.
View DetailsNext-Gen ATM with Facial Recognition (Python, AWS Rekognition)
Designed and developed a secure ATM system integrating facial recognition technology using custom Siamese neural networks. Deployed the solution with FastAPI for efficient API handling, PostgreSQL for data storage, and Docker for containerization.
View DetailsDeepfake Detection using ResNet (Python, TensorFlow)
Built a deepfake detection system using InceptionResNetV2 to identify manipulated images and videos. Improved model accuracy through advanced image augmentation techniques and data preprocessing. Utilized TensorFlow to develop a scalable and efficient deep learning pipeline for real-time detection.
View DetailsCertifications
Google IT Support Certifications
AWS Solutions Architect Associate
Microsoft Azure Fundamentals
IBM Data Science Professional Certificate
Scaler Full Stack Specialization
Udacity Data Analyst Nanodegree
Ubuntu Linux Professional Certificate by Canonical
LinkedIn - Six Sigma: Green Belt
Pendo.io - AI for Product Management
Technical Skills
Languages
Python, Java, JavaScript, SQL
Backend
Node.js, Express, FastAPI, Spring
Frontend
React, HTML5, CSS3, Bootstrap
Databases
MongoDB, PostgreSQL, MySQL
Cloud Services
AWS, GCP, Azure
Machine Learning
TensorFlow, PyTorch, Scikit-learn
AI & Geospatial
YOLOv11, RF-DETR, Roboflow, Google Maps API, OpenStreetMap
Get in Touch
Let's connect and discuss opportunities