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AI Engineer with less than a year in Python, Machine Learning, NLP, and Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate and aspiring AI Engineer skilled in Python, Machine Learning, NLP, and Generative AI. I have hands-on experience building AI-driven applications using LLMs, RAG pipelines, LangChain & HuggingFace. I possess a strong understanding of data preprocessing, embeddings, retrieval systems, and model integration, and I'm passionate about transforming data and models into seamless real-world digital experiences.
Avanthi Pg College
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
Krishna Chaitanya Degree College
Bachelor of Computer Applications (BCA)
August 1, 2018 – June 30, 2021
AI-Driven Mental Health Support Assistant (RAG + LLMS)
June 24, 2026 – Present
Built an AI-driven chatbot using RAG with custom embeddings, retrieval pipelines & context-aware responses. Integrated an LLM into a full application with real-time inference and modular backend architecture. Processed large text datasets (articles, PDFs) for cleaning, chunking, vectorization & retrieval. Developed a user-friendly UI using Streamlit with React-inspired components. Deployed the system end-to-end on Streamlit Cloud with CI/CD automation.
AI/ML Interview Preparation Assistant (Production-Ready AI Tool)
June 24, 2026 – Present
Created an interactive AI Interview Assistant supporting PDF uploads, multi-topic Q&A & knowledge ingestion. Implemented ML pipelines for preprocessing, embeddings, dataset indexing & model orchestration. Deployed the complete AI application on HuggingFace Spaces with persistent inference runtime. Ensured optimized dataset handling and improved responsiveness for a seamless digital experience.
Generative AI
Diligence Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in practical AI applications, particularly in areas like mental health support and interview preparation, which suggests a drive to create impactful solutions. The academic background and focus on deploying production-ready tools indicate a results-oriented mindset. The breadth of skills listed (Python, Java, SQL, various AI/ML frameworks, cloud/DevOps tools) suggests adaptability and a willingness to learn diverse technologies, which is positive for cultural fit in a dynamic tech environment. However, the lack of professional experience means there's no direct evidence of collaboration within a corporate setting.
Soft Skills & Operational Fit
The candidate lists problem-solving, debugging, team collaboration, analytical thinking, and adaptability as soft skills. These are valuable for an AI Engineer role, indicating a potential for effective teamwork and independent problem resolution. However, without specific examples or assessment data, the depth of these skills cannot be fully evaluated.