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AI Engineer with less than a year in AI/ML & Web Development
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Motivated AI/ML Engineer and Web Developer with hands-on experience building machine learning pipelines, Generative AI applications, and responsive web platforms. Skilled in Python, Scikit-learn, LangChain, and Gemini AI. Completed two internships spanning AI web development and digital marketing analytics. Pursuing BCA (AI/ML Focus) at ICFAI University. Seeking an entry-level role to apply ML, NLP, and full-stack AI development skills in a product or tech-driven environment.
ICFAI University, Hyderabad
BCA - AI/ML Focus · AI/ML Focus
August 1, 2023 – June 30, 2026
Gouthami College
Intermediate (MPC) · MPC
June 1, 2020 – May 31, 2023
Alpha High School
Secondary School (SSC)
June 1, 2020 – May 31, 2020
Medify Health & Solutions
Digital Marketing Intern
May 1, 2025 – July 1, 2025
India
Techyautomate
AI Web Development Intern
January 1, 2025 – April 1, 2025
India
Credit Card Fraud Detection Using Machine Learning
January 1, 2025 – June 1, 2026
Built a binary classification pipeline on a 284K-row dataset with 99.9% class imbalance; applied SMOTE oversampling, feature engineering, and GridSearchCV to achieve 94% precision and 91% recall. Trained and compared Random Forest, Gradient Boosting, and XGBoost; selected best model at ROC-AUC 0.98, reducing false positives by 18% vs. baseline. Visualised feature importance and confusion matrices for interpretability.
AI-Based Web Development System
January 1, 2025 – June 1, 2026
Built a full-stack AI web application with an NLP Resume Assistant (Gemini AI + LangChain) enabling context-aware real-time Q&A; optimised prompt engineering pipeline to cut response latency by ~40%. Deployed on Vercel with CI/CD via GitHub Actions; configured REST API endpoints handling 200+ requests/month with reliable uptime.
AI-Enhanced E-Commerce Platform
January 1, 2025 – June 1, 2026
Built a collaborative-filtering recommendation engine (cosine similarity) achieving 85% user-item match accuracy on a 10K-record dataset; integrated LLM backend via REST API for AI-driven product ranking, reducing search time by 30%. Delivered responsive frontend with Python backend; containerised with Docker for consistent and repeatable deployment.
Deep Learning Specialisation
DeepLearning.AI
June 1, 2026 – Present
LangChain & LLM App Development
LangChain Academy
January 1, 2025 – Present
Generative AI Fundamentals
Google Cloud
January 1, 2025 – Present
Google ML Crash Course
January 1, 2024 – Present
Python for Data Science & AI
IBM/Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from fraud detection to AI-powered web applications and e-commerce platforms, indicates a broad interest in applying AI across different domains. The pursuit of a BCA with an AI/ML focus and numerous certifications (Google ML Crash Course, Deep Learning Specialisation, LangChain & LLM App Development) demonstrates a strong commitment to continuous learning and staying current with industry trends. This aligns well with a culture that values innovation and skill development. The internship experience, though limited, shows an ability to work in structured environments. However, the lack of team-based project experience or contributions to open-source projects makes it difficult to fully assess collaboration and cultural integration beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive approach to learning and problem-solving. The ability to manage full deployment lifecycles and optimise prompt engineering indicates an operational mindset. The digital marketing internship, while not directly AI-related, shows exposure to data-driven decision-making and A/B testing, which are valuable for product iteration in an AI context. However, the candidate's experience level is very low (0 years), which might impact their ability to navigate complex team dynamics or lead initiatives without significant mentorship.