Jyotheesh Gaddam

Highly skilled, dedicated and driven research scholar, leveraging a career spanning more than 4+ years across an academic space, identifying efficiencies and problem areas in day-to-day business operations to ensure conversion into machine learning problems. Creative and innovative thinker with strong programming skills, conversing closely with students to ascertain and drive optimal learning outcomes across a range of levels. Analytical and process oriented with a knack for capturing data to ensure corporate growth. Maintaining strong technical and scientific knowledge, working to determine and align structural requirements to ensure the maintenance of business requirements. Seeking a new and challenging role that offers an opportunity to leverage skills and experience as a valuable asset to the team.

• Rajani, K. R., Gaddam, A., & Gaddam, J. (2022). IoT based Smart Waste Management Using Deep Reinforcement Learning [Preprint].
• Gaddam, J., Barca, J. C., Dazeley, R., & Angelova, M. (2022). Selection of Building Blocks for Adaptive Grammatical Evolution in PSO [Preprint].
• Gaddam, J., Angelova, M., Barca, J. C., & Dazeley, R. (2022). Adaptive Grammatical Evolution in a Particle Swarm Optimisation Setting [Poster].
• Gaddam, A., Wilkin, T., Angelova, M., Gaddam, J. (2020). Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions. Electronics, 9(3), 511.
• Jyotheesh G., Aparna V. (2019). Enhancing the Learning Management System Using NLP: A Case Study. IJRAR, 6(1), 105-109.

• Adaptive Grammatical Evolution in a Particle Swarm Optimization Setting at Deakin University, Melbourne, Australia, December 2020.

• Attended AMSI workshop - Dynamical Systems in Physiology, Deakin University, Melbourne, Australia, September 2019.
• Attended 2019 Mathematics of Physiological Rhythms, University of Melbourne - Creswick, Melbourne, Australia, September 2019.
• Attended and presented poster in Australian Computer Science Week 2022 - Sydney, Australia, February 2022.

• Best Project Award 2016 - Awarded best project award for developing an innovative defect tracking system website tool for software development.
• Best Poster Award 2017 - Awarded best poster award for presenting advanced e-learning standards for university students.

• FFCS Chatbot - Student Assistant: Led a team and played a key role in conceptualising and developing the Fully Flexible Credit System (FFCS) chatbot. Provided valuable assistance to students, faculties, and parents by offering university information, semester-wise guidance on subjects and faculties. Took charge of project management, ensuring successful implementation and seamless functionality of the chatbot.
• Recission - Job Portal: Led a team and spearheaded the conceptualisation and development of Recission, a dynamic job portal catering to full-time, part-time jobs, and internships. Aligned with the principles outlined in the IEEE paper, "Generating Personalized Job Role Recommendations for the IT Sector through Predictive Analytics and Personality Traits," utilising the Holland Code Hexagonal Model. As the team lead, contributed to the project's success by overseeing the development process and ensuring adherence to project milestones. Created a functional and user-friendly website, enabling employees to access a wide range of job opportunities.
• e-Post Office: Led a team as the team lead, driving the conceptualisation and development of an innovative internet-based smart e-post office. Implemented automation of postal services through features such as door pickups, a smart e-copies system, and scheduled pickup and deliveries. Streamlined the process by allowing users to directly upload soft copies, enabling the e-post office to efficiently deliver hard copies to recipients on the same day. Developed a functional prototype, ensuring seamless functionality and user-friendly experience.
• Defect Tracking System - Software Bug Tracker: Served as the team lead and played a pivotal role in the conceptualisation and development of a web-based application specifically designed to streamline the tracking of software bugs, work assignments, and progress monitoring. Empowered quality assurance and programmers by providing them with a centralised platform to effectively manage reported software bugs. Led the team in successfully developing a fully functional website, ensuring seamless bug tracking and resolution processes. Recognized for excellence in project execution, the Defect Tracking System received the Best Project of the Year 2016 award from VIT University.

Available upon request