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AI Engineer with 1+ years in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer and Data Analyst with hands-on experience in Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. Proficient in building robust predictive models, performing advanced data preprocessing, and applying statistical analysis using Python and modern ML frameworks such as Scikit-learn, TensorFlow/Keras, PyTorch, and Hugging Face Transformers. Experienced in designing interactive dashboards and impactful data visualizations using Power BI, Excel, and Tableau. Serving as an NSS Lead Coordinator, demonstrating strong leadership, collaboration, and organizational skills, with a passion for transforming real-world challenges into meaningful, AI-driven insights.
Prodigy InfoTech Pvt. LTD.
Intern - Machine Learning | House Price Prediction using Linear Regression Model
January 1, 2025 – Present
India
BE Project-AI-Enabled Employment Matching Platform
March 1, 2026 – Present
Developed an AI-powered resume and job matching platform using Machine Learning and Natural Language Processing techniques to automatically match candidates with relevant job opportunities. Built an end-to-end NLP pipeline for resume parsing, text preprocessing, skill extraction, and job description analysis from PDF and DOCX files. Implemented TF-IDF vectorization and cosine similarity using scikit-learn to measure similarity between resumes and job descriptions, and enhanced ranking accuracy using BM25 scoring with rank_bm25. Integrated semantic similarity using Sentence Transformers and SBERT embeddings to capture contextual relationships between candidate skills and recruiter requirements. Designed a hybrid ML model combining keyword-based matching, semantic similarity, and threshold-based scoring to automatically shortlist candidates and identify missing skills. The system was built using Python, NLTK, scikit-learn, Django, React, Celery, and Redis for scalable resume processing and candidate ranking.
Agent Search - Generative AI Research Assistant
January 1, 2026 – Present
Built a Generative AI-based research assistant using Python, LangChain, and ChatGroq (LLM) to generate structured research summaries from user queries. Integrated tools like web search and Wikipedia retrieval, and automated saving outputs in JSON/text format for organized results. Implemented prompt engineering, data parsing (Pydantic), API integration, and tool orchestration to automate the complete research workflow, delivering summaries with sources and tool usage details.
Coffee Shop Sales Dashboard - Power BI
June 1, 2025 – Present
Developed an interactive Power BI dashboard to analyze key business metrics using cleaned and structured data. Implemented DAX measures, KPIs, charts, filters, and slicers, and performed data cleaning and analysis using Excel and Power BI for accurate reporting and actionable insights.
Data Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
What is Generative AI
LinkedIn Learning
June 1, 2026 – Present
Deep Learning: Neural Network with Tensorflow
Udemy
June 1, 2026 – Present
Git & GitHub Bootcamp: Master Git In 2025
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML and data analysis, aligning well with an AI Engineer role. The diversity of projects (Generative AI assistant, employment matching, sales dashboard) indicates adaptability and a willingness to explore different applications of AI. The academic project's scope and use of various technologies suggest a proactive and learning-oriented mindset. However, the limited professional experience (one internship) means less exposure to diverse team dynamics and corporate environments, which might impact cultural integration in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in designing hybrid ML models and orchestrating AI tools. The NSS Lead Coordinator role suggests leadership and collaboration potential. However, the resume lacks explicit details on communication in team settings or handling complex project challenges, which are crucial for senior roles.