AI Engineer with less than a year in Machine Learning and NLP for developing intelligent AI solution
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML undergraduate with hands-on experience in Machine Learning and NLP, including a research-based crop recommendation system published at an IEEE conference. Skilled in building end-to-end AI applications such as a resume-job matching system using Python and Scikit-learn, with a strong interest in developing intelligent AI solutions.
Alliance University
B. Tech · CSE-AIML
N/A – June 30, 2027
New Sri Chaitanya PU college Ballari
PUC
N/A – May 31, 2023
Bala Bharathi kendriya Vidyalaya
10th
N/A – May 31, 2021
Skill Forge E-Learning Solutions Pvt Ltd
Machine Learning Intern
July 1, 2025 – August 1, 2025
India
Optimized Crop Recommendation system
June 5, 2026 – Present
Designed and optimized a supervised machine learning model to predict suitable crops using soil nutrients and environmental parameters. Implemented and evaluated XGBoost, SVM, Decision Tree, and KNN models to improve classification accuracy and performance. Achieved ~98.6% prediction accuracy using the XGBoost model. Research paper titled “An Optimized Crop Recommendation System Using Soil pH, Rainfall, and Temperature” published and presented at IEEE International Conference (ICSEDIS 2026).
View ProjectAI Resume Analyzer & Job Matcher
June 5, 2026 – Present
Developed an AI-powered web application to analyze resumes and match them with job descriptions. Implemented NLP techniques using spaCy for skill extraction and cosine similarity for matching. Integrated LLM-based suggestions using OpenAI API and prompt engineering to provide intelligent career insights and personalized recommendations.
Artificial Intelligence with Python
Skill Forge
June 1, 2026 – Present
Microsoft Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Machine Learning with Python
Skill Forge
June 1, 2026 – Present
IEEE presentation certificate-ICSEDIS-2026
IEEE
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's participation in extracurricular activities and volunteering suggests a willingness to engage in broader community and team settings. The project diversity (crop recommendation, resume analyzer) and the pursuit of an AI/ML degree indicate a strong alignment with an AI Engineer role. The breadth of skills covers foundational ML/AI, NLP, and some exposure to LLMs, which aligns with modern AI development. However, the experience level is very junior, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, effective communication, team collaboration, and adaptability as soft skills. Project descriptions indicate collaboration in group projects and event organization. The internship involved working on predictive models, suggesting an ability to follow structured development processes. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.