AI Engineer with 1+ years in Machine Learning, Generative AI & Web Development.
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Highly motivated AI & Machine Learning enthusiast with a Master's in Computer Applications, skilled in Python, Java, SQL, and various AI/ML frameworks like TensorFlow and PyTorch. Possesses practical experience in developing predictive ML models, fine-tuning Generative AI, and building full-stack web applications, with a strong focus on data preprocessing, feature engineering, and data visualization. Eager to contribute expertise in AI solutions and data-driven insights.
Mahatma Gandhi University
MCA · Computer Applications
August 1, 2023 – June 30, 2025
Mathrusri Mahila Degree College
Bachelor of Computer science · Mathematics, Physics, Computer science
August 1, 2019 – June 30, 2022
Vaishnavi Junior College
Intermediate · Mathematics, Physics, Chemistry
June 1, 2017 – May 31, 2019
ZP High School
SSC Education
N/A – May 31, 2017
AI Varient
Data Science and Machine Learning Intern
October 1, 2024 – March 1, 2025
Nalgonda, Telangana, India
Open Weaver
Generative AI Intern
June 1, 2024 – September 1, 2024
Nalgonda, Telangana, India
Skill Vertex
Web Development Intern
May 1, 2024 – June 1, 2024
Nalgonda, Telangana, India
Healthcare Patient Waitlist Analytics Dashboard
June 1, 2026 – June 1, 2026
Developed comprehensive Power BI dashboard reducing manual reporting time by 75% Implemented end-to-end methodology: requirement gathering, data collection, and transformation Created interactive visualizations improving stakeholder decision-making efficiency by 60% Established automated refresh cycles reducing data update time by 90% Achieved 40% reduction in patient wait time analysis
Digital Typing Assistant
June 1, 2026 – June 1, 2026
Built NLP-powered typing assistant achieving 85% accuracy in next-word prediction Implemented machine learning algorithms improving typing efficiency by 40% Reduced typing errors by 35% through context-aware suggestions Processed over 1 million text samples for model training
StanUConnect - Social Media Platform
June 1, 2026 – June 1, 2026
Created full-stack social platform handling 10,000+ daily active users Implemented real-time updates with 99.9% uptime using Firebase Achieved 50% faster load times using optimized React components and Tailwind CSS Developed robust user authentication system with 100% security compliance
AI-Powered Prediction Systems
June 1, 2026 – June 1, 2026
Solar Panel Generation: Regression models with 92% accuracy Crude Oil Prediction: Price forecasting models with 88% accuracy Bankruptcy Prevention: Classification models with 90% precision
Machine Learning using python
TASK
June 1, 2026 – Present
C, TALLY ERP9
Sathyam computers,Hanamkonda
June 1, 2026 – Present
SQL & Power BI
SimpliLearn
June 1, 2026 – Present
Data Science and ML
Excelr
June 1, 2026 – Present
Google Analytics
Simplilearn
June 1, 2026 – Present
Agile Scrum Master
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from NLP-powered assistants and predictive systems to data analytics dashboards and full-stack web development, indicates a broad interest and adaptability. The internships at 'AI Varient' and 'Open Weaver' directly align with an AI Engineer role, showcasing a focused career path. The inclusion of web development experience, while not directly AI, demonstrates versatility and a willingness to learn different technologies. The certifications in various domains (ML, Data Science, Agile, SQL, Power BI) further support a continuous learning mindset and a broad skill set, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Technical and Cultural Events Coordinator, leading team-building initiatives) and certifications in Agile Scrum Master, indicating an understanding of project management methodologies and a proactive approach to collaboration. The project descriptions emphasize problem-solving and efficiency improvements, suggesting a results-oriented mindset. However, without direct interview data, a deeper assessment of communication style, stress handling, and specific team collaboration dynamics is limited.