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AI Engineer with less than a year in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with a specialization in Computer Applications and training in AI and Data Science. Proficient in Python, SQL, and Machine Learning with a solid understanding of data-driven technologies. Experienced in building predictive models, analysing data, and solving real-world business problems. Passionate about leveraging data science to drive innovation and continuous improvement.
JKC College Guntur
Master Of Computer Applications · Computer Applications
August 1, 2023 – June 30, 2025
Rohini Degree College
Batchelor's Degree · BSc Computers
August 1, 2020 – June 30, 2023
V Cube Software Solutions
AI/ML Engineer Intern
December 1, 2025 – June 1, 2026
India
Mobile Price Prediction System
January 1, 2026 – June 1, 2026
Developed a regression-based machine learning model to predict mobile phone prices using specifications like RAM, ROM, camera, and battery capacity. Applied dimensionality reduction using PCA and hyperparameter tuning with GridSearchCV. Evaluated performance using R² score and MSE, resulting in optimized prediction accuracy.
ML Q&A Chatbot using PDF and GenAI
January 1, 2026 – June 1, 2026
Developed a GenAI-powered question-answering chatbot using a machine learning PDF as the knowledge source. Utilized Lang Chain to load, split, and embed content from the “Machine Learning with Python Cookbook” using all-MiniLM-L6-v2 sentence embeddings. Stored vector representations using FAISS for efficient retrieval. Integrated the Mistral-7B-Instruct model via Hugging Face Inference API to generate accurate, context-based answers. The entire Retrieval-Augmented Generation (RAG) workflow was implemented and demonstrated within a Jupyter Notebook, showcasing embedding generation, document similarity search, and final response generation using a real LLM.
Python for Beginners
NxtWave Academy
June 1, 2026 – Present
SQL Fundamentals
NxtWave Academy
June 1, 2026 – Present
MOOC on E-Commerce
Acharya Nagarjuna University (ANU College)
June 1, 2026 – Present
Data Science with AI/ML
V cube software solutions
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity, including both traditional ML and GenAI, indicate a broad interest in the AI/ML domain. The internship experience, though short, shows an inclination towards practical application. The stated passion for continuous learning and exploring new software tools suggests a proactive and growth-oriented mindset, which is a good cultural fit for innovative teams. However, the lack of diverse project types beyond academic settings and limited professional experience might require more mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate highlights strengths such as being a quick learner, adaptable, having strong problem-solving and analytical skills, and good communication/teamwork abilities. These traits suggest a positive operational fit, especially in a learning-intensive environment. The passion for continuous learning and improvement aligns well with the dynamic nature of AI/ML roles.