Passionate about leveraging data science, machine learning, and software engineering to create innovative solutions and drive impactful results.
I am a passionate Computer Science graduate student at Western Michigan University with extensive experience in data science, machine learning, and software engineering. My expertise includes developing data-driven solutions, building predictive models, and creating full-stack applications.
I thrive in challenging environments where I can apply my technical skills to solve complex problems and deliver measurable results. With experience across healthcare, education, and manufacturing domains, I bring a versatile skill set to any team.
Western Michigan University
08/2023 - 12/2025 | GPA: 3.5/4.0
SDMCET Karnataka, India
08/2019- 07/2023 | GPA: 3.3/4.0
• Lead Teaching Assistant supervising a team of tutors, coordinating academic support for 100+ students across programming (Python, Java, C), mathematics, and physics
• Delivered technical tutoring and coding mentorship, breaking down complex algorithms and data structures
• Developed and deployed an AI-powered chatbot for a real estate platform, utilizing AI Prompt Engine and NLP models to deliver personalized, sustainability-focused property recommendations and automate 80% of user inquiries.
• Implemented data privacy protocols and AI alignment measures to ensure full compliance with ethical AI standards while integrating real-time energy efficiency datasets through custom APIs, expanding recommendation accuracy by 40%.
• Conducted iterative UX testing and system optimization, reducing response latency by ~30% and improving chatbot reliability and user satisfaction.
• Collaborated with cross-functional teams to prototype advanced features, including data scraping pipelines, AI-generated content, and affiliate marketing modules, contributing to a projected 25% increase in platform engagement.
• Designed, simulated, and troubleshooted complex network topologies using Cisco Packet Tracer, gaining practical experience in LAN/WAN design, routing protocols (RIP, OSPF), and network security principles
• Configured Cisco routers and switches, implemented IPv4/IPv6 addressing, VLANs, and subnetting schemes to optimize network performance and ensure high availability
• Conducted troubleshooting, performance tuning, and detailed network documentation to support system reliability, scalability, and future expansion.
• Provided hands-on debugging assistance to students, diagnosing runtime errors, logic flaws, and performance bottlenecks in C, Java, and Python codebases using systematic troubleshooting approaches.
• Developed and enhanced frontend features using HTML, CSS, and JavaScript, focusing on responsive design, UI improvements, and seamless user interactions to support departmental tools and student portals.
Uses CNNs and Transfer Learning for early detection of plant diseases in corn crops. Utilized the PlantVillage dataset to create a scalable solution for enhancing crop yield and agricultural productivity.
Developed a sophisticated platform utilizing Neural Networks to identify and flag offensive content on various social media platforms. Applied Machine Learning techniques for data analysis and classification.
Built a scalable recipe search engine integrating 3M+ recipes across multiple datasets using advanced IR methods (TF-IDF, BM25). Developed real-time Telegram bot with Python, pandas, and scikit-learn.
Developed and deployed a scalable hotel booking platform for President Hotel (Hubli, India), with modules for room reservations, customer feedback, and admin management. Built responsive UI using HTML, CSS, JavaScript and integrated backend services with Python (Flask/Django) and MySQL.
Designed and implemented a full-featured laundry service platform with customer scheduling, order tracking, and payment processing workflows. Created user-friendly interfaces with React.js and Bootstrap, integrated backend APIs.
jettiumeshnaidu@gmail.com
269-207-7255
Kalamazoo, MI, USA