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AI Engineer with less than a year in Machine Learning, NLP, and Fullstack Development.
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 Developer passionate about Machine Learning and Software Development, with a focus on building scalable AI solutions for real-world challenges. Committed to continuous learning, innovation, and delivering impactful data-driven results.
Sagar Institute of Sciene and Technology
Bachelor of Technology · CSE-AI&DS
August 1, 2023 – June 30, 2027
YouTube Video Assistant
January 1, 2026 – Present
Developed a RAG-powered chatbot using Streamlit, LangChain, FAISS, and LLMs that enabled bilingual Q&A over YouTube transcripts, achieving sub-3-second response times and supporting 100+ user queries per session.
AI Resume Builder
January 1, 2026 – Present
Developed an AI-powered recruitment platform that reduced resume screening time by 80% and processed 1000+ resumes.
ChoronosAI
January 1, 2026 – Present
Built an AI-driven academic ERP leveraging OCR, LangGraph, and FastAPI that automated timetable processing with 95%+ extraction accuracy and reduced manual scheduling effort by 80%.
Python for Data Science
Cisco Networking Academy
June 1, 2026 – Present
Introduction to Modern AI
Cisco Networking Academy
June 1, 2026 – Present
Introduction to Data Science
Cisco Networking Academy
June 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of AI, from recruitment to educational ERPs and content analysis. This breadth of interest aligns well with an innovative and problem-solving culture. The focus on building scalable solutions and continuous learning suggests a good fit for a dynamic AI engineering environment. However, the lack of professional experience means cultural fit is primarily inferred from project types and stated aspirations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach and an ability to tackle real-world problems with AI solutions. The academic projects suggest a proactive learning attitude and a commitment to continuous skill development. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific communication styles in a professional setting.