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AI Engineer with less than a year in Generative AI Development & RAG Architecture
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with hands-on experience in Generative AI development and enterprise software. Skilled in building end-to-end AI pipelines using Python, LLMs, HuggingFace, LangChain, and RAG architecture. Currently Project Associate at CDAC on a defence-grade Indian Navy application. Seeking AI/ML Engineer roles.
Bharati Vidyapeeth's ICAM, Delhi
Master of Computer Applications · Computer Applications
August 1, 2023 – June 30, 2025
Bharati Vidyapeeth IMR, Delhi
Bachelor of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2023
St. Andrews Scots Sr. Sec. School, Delhi
Class XII · Commerce with Maths
June 1, 2020 – May 31, 2020
CDAC (C-DAC)
Project Associate
October 1, 2025 – Present
India
Sampark Softwares
AI Intern
July 1, 2025 – September 1, 2025
Gurgaon, Haryana, India
MediBot - Symptom-to-Medicine Recommendation System
July 1, 2025 – September 1, 2025
Built an AI-powered medical chatbot using RAG pipeline - symptoms converted to embeddings via Hugging Face, stored in PGVector for semantic search, and Groq LLM for fast inference and response generation. Deployed Flask APIs for real-time symptom input handling and accurate medicine recommendations.
StudyBuddy AI - Notes Summarizer & Question Generator
January 1, 2025 – December 31, 2025
Built an AI study assistant generating summaries, key concepts, and exam-oriented MCQs from PDFs using LLMs and NLP. Used LangChain for prompt orchestration and HuggingFace Transformers for text chunking, embeddings, and semantic understanding.
Introduction to Generative AI
AWS
May 1, 2025 – Present
Web Development Fundamentals
IBM
August 1, 2024 – Present
AICTE-ATAL Training Program on Artificial Intelligence
AICTE-ATAL
October 1, 2023 – Present
Power BI and Data Analytics
F1 Macro
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's project work (MediBot, StudyBuddy AI) demonstrates initiative and a problem-solving mindset, which are positive indicators for cultural fit. The experience at CDAC in a government defense project shows an ability to work in high-security, client-restricted environments, suggesting adaptability. However, the projects are primarily personal/internship-based, and the current role at CDAC is more associate-level with exposure rather than direct senior AI engineering, which might indicate a gap in experience for a senior AI Engineer role. The breadth of skills is good for an entry-level AI role, but for a senior position, deeper specialization and leadership in complex AI systems would be expected.
Soft Skills & Operational Fit
The candidate's project descriptions highlight the ability to design end-to-end AI pipelines and deploy APIs, indicating good operational understanding. Involvement in system testing, documentation, and requirement analysis at CDAC suggests an aptitude for structured development processes and teamwork. The listed soft skills (Communication, Teamwork, Adaptability) align with typical operational requirements, though these are self-reported and not independently verified.