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AI Engineer with 3+ years in ML pipelines, NLP, and cloud-hosted AI applications.
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 Engineer and Data Analyst with hands-on experience building and deploying end-to-end ML pipelines, NLP systems, and cloud-hosted AI applications. Proficient in Python, spaCy, Scikit-learn, TensorFlow, Flask, and SQL. MCA candidate specializing in Artificial Intelligence.
Monark University
MCA · Artificial Intelligence
August 1, 2023 – June 30, 2026
Monark University
BCA
August 1, 2021 – June 30, 2024
Karan Infosys
AI/ML Intern
December 1, 2025 – Present
India
Web Bunny Development
AI/ML Intern
December 1, 2025 – March 1, 2026
India
IFedora
Process Associate
January 1, 2025 – Present
India
CG Meditrans
AR Executive
October 1, 2023 – January 1, 2025
India
ML Model Portfolio
June 1, 2026 – Present
Heart Disease Predictor (classification), Bulldozer Price Prediction (Random Forest regression, RMSLE optimized), Dog Breed Identification (CNN + transfer learning).
AI Resume Ranking System
June 1, 2026 – Present
Full-stack cloud-deployed AI app ranking candidates via NLP semantic scoring. Custom Skill-Tagging replaces JDs, reducing HR setup time by 80%. Score = (Skill Ratio x 0.7) + (Experience Ratio × 0.3) with dynamic penalties.
Generative AI MasterMind
Outskills
June 1, 2026 – Present
AI/ML Engineering Internship Certificate
Web Bunny Development
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from NLP-based resume ranking to various ML models (classification, regression, CNNs), indicates a broad interest and adaptability within the AI/ML domain. Their current pursuit of an MCA in Artificial Intelligence and certifications in Generative AI align well with an AI Engineer role. The blend of academic learning, internships, and practical project deployment suggests a proactive and continuous learning culture. The previous roles in data analysis and AR executive, while not directly AI-focused, show an analytical background and experience in structured environments, which can contribute to a well-rounded team member.
Soft Skills & Operational Fit
The candidate demonstrates a strong self-directed engineering ability, as evidenced by the independent deployment of the AI Resume Ranking System. Their focus on evaluating technical decisions through the lens of business value suggests a practical, results-oriented approach. The experience in data analysis for Workers' Compensation claims indicates an ability to handle high-volume data and identify patterns, which is valuable for operational roles. However, the resume does not provide explicit details on teamwork, conflict resolution, or leadership, which are crucial for senior roles.