AI Engineer with less than a year in Machine Learning & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Information Technology undergraduate with hands-on experience in Machine Learning, Deep Learning, Cloud technologies, and software development. Skilled in Python, AWS, and AI-driven applications with experience building predictive systems and data-driven solutions. A quick learner with a growth mindset, always eager to explore and adapt to emerging technologies and take on new challenges.
VNR Vignana Jyothi Institute of Engineering & Technology
B.Tech · IT
August 1, 2022 – June 30, 2026
Freelance
Freelance Software Developer
November 1, 2025 – Present
India
VSTAREX IT HUB
UI/UX Intern
September 1, 2025 – Present
India
DRDL (Defense Research and Development Laboratory)
AIML Intern
April 1, 2025 – June 30, 2025
India
Forest Fire Detection & Prevention
January 1, 2025 – December 31, 2025
Built a hybrid AI wildfire monitoring system using VGG16 + SVM + CatBoost + Fuzzy Logic for real-time detection and risk prediction. Achieved 96% detection accuracy and 82.31% prediction accuracy on 41 years of weather data.
Crypto Price Prediction
January 1, 2025 – December 31, 2025
Built a GRU model achieving 98.18% prediction accuracy on Bitcoin datasets. Processed 5,000+ records and reduced RMSE by 10% against LSTM.
Expense Tracker Web App
January 1, 2025 – December 31, 2025
Created a full-stack application enabling users to add, edit, and track 100+ monthly transactions with categorized spending. Developed and integrated 4 interactive dashboards and visual charts.
AWS Training
IEEE IACC
June 1, 2026 – Present
AI Concepts & Techniques
NPTEL
June 1, 2026 – Present
PwC Advisory Learning Program
PwC Advisory
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio (AI, web development, UI/UX) and extracurricular activities suggest a broad interest and adaptability. The academic projects align well with an AI Engineer role, demonstrating a foundational understanding of AI concepts. The internships, while short-term, show exposure to different work environments. The candidate appears to be a proactive learner, which is a good cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate's resume indicates a growth mindset and eagerness to learn, which are positive soft skills. Participation in sports clubs suggests teamwork and leadership potential. The freelance experience in CI/CD automation shows initiative and problem-solving. However, the experience level is entry-level, and operational fit for a senior AI Engineer role would require significant mentorship and development.