PULICHINTHA NAVANEETH REDDY
Computer Science Graduate | AI/ML & Software Developer
Hyderabad, IN.About
Highly motivated Computer Science graduate with a strong foundation in AI/ML, Python, and Java, seeking to leverage expertise in designing and implementing innovative technology solutions. Proven analytical and problem-solving abilities, demonstrated through impactful projects like developing an automated CCTV incident detection system and an ML-driven conveyor belt optimization solution. Eager to contribute to cutting-edge automation and software development in a dynamic professional environment.
Work
Hyderabad, Telangana, India
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Summary
Engineered an automated incident detection system leveraging advanced AI/ML for real-time analysis of CCTV feeds, enhancing security and operational efficiency.
Highlights
Developed and deployed an automated incident detection system, integrating Python, OpenCV, and TensorFlow for real-time analysis and alert generation.
Designed a robust database management system to store and retrieve incident data, improving data accessibility and analytical capabilities.
Implemented advanced AI/ML models (Scikit-learn, Faster R-CNN) to accurately identify and flag suspicious activities, enhancing security response times.
Hyderabad, Telangana, India
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Summary
Led the development of an IoT and Machine Learning solution to prevent coal conveyor belt dislodgements, significantly reducing production losses.
Highlights
Designed and implemented a predictive maintenance system using IoT sensors and ML algorithms (NumPy, Pandas) to detect pre-dislodgement conditions.
Integrated PI camera technology to provide visual confirmation and enhance the accuracy of dislodgement prediction, minimizing downtime.
Developed a Power BI dashboard for real-time monitoring of conveyor belt health, enabling proactive intervention and operational optimization.
Academic Project (Marri Laxmen Reddy Institute Of Technology and Managemanet)
|AI/ML Research Developer
Hyderabad, Telangana, India
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Summary
Developed an unsupervised deep learning pipeline for anomaly detection in hyperspectral imagery, enhancing target identification and spectral clarity.
Highlights
Constructed an unsupervised deep learning pipeline for anomaly detection, processing AVIRIS and Hyperion datasets to identify critical targets.
Implemented advanced preprocessing techniques including radiometric correction, denoising, and pan-sharpening to enhance spectral clarity and data quality.
Utilized autoencoders and spectral analysis to extract precise target features and signatures, significantly improving detection accuracy in complex datasets.
Education
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Bachelor of Technology
Computer Science and Engineering
Grade: 7.89/10.0
Courses
Data Structures and Algorithms
Object-Oriented Programming
Machine Learning
Artificial Intelligence
Database Management Systems
Operating Systems
Awards
Smart India Hackathon Winner
Awarded By
Smart India Hackathon
Secured first place in a national-level competition by leading a team to develop and implement an innovative product addressing a pressing societal or industrial challenge, demonstrating strong problem-solving and leadership skills.
Gujarat Startup Conference Participant
Awarded By
IDE Bootcamp / Gujarat Startup Conference
Invited to showcase the winning solution from the Smart India Hackathon at the Gujarat Startup Conference, gaining exposure to potential investors, mentors, and industry experts.
SIH 2023 Hardware Edition Winner
Awarded By
Smart India Hackathon
Recognized as a winner in the hardware edition of the Smart India Hackathon 2023, validating expertise in developing tangible technological solutions.
Languages
English
Telugu
Skills
Programming Languages
Python, Java, HTML, CSS.
Frameworks
Spring Boot, Hibernate.
Technologies & Libraries
Machine Learning, Artificial Intelligence, IoT, OpenCV, TensorFlow, Scikit-learn, NumPy, Pandas, Power BI, Matplotlib, Faster R-CNN.
Soft Skills
Analytical Thinking, Problem-Solving, Communication.