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Machine Learning Engineer with 2+ years in Generative AI & LLM-based systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer with 2+ years of experience building Generative AI, LLM-based systems, and autonomous AI agents using Python. Strong expertise in RAG pipelines, LangChain, vector databases, and FastAPI-based deployments. Proven ability to design agentic workflows, optimize prompts, and build production-ready AI systems.
Sri Harshini Degree and PG College
Bachelor of Science · MPCs
August 1, 2022 – June 30, 2022
PACE Institute of Technology and Sciences
Diploma · Mechanical Engineering
August 1, 2019 – June 30, 2019
DigiDelight Solutions Private Limited
AI/ML Engineer
February 1, 2024 – April 1, 2026
Hyderābād, Telangana, India
Multi-Agent Recruitment & Interview System
June 25, 2026 – Present
Agentic AI, LLMs, Python
Talk-to-Database AI Assistant
June 25, 2026 – Present
LLM-to-SQL, FastAPI
RAG-based Enterprise Chatbot
June 25, 2026 – Present
LangChain, Ollama, Vector DBs
Cultural Fit Analysis
The candidate's experience is heavily concentrated in AI/ML development, with a clear passion for Generative AI and agentic systems. The project diversity within this niche (RAG chatbots, LLM-to-SQL, multi-agent systems, OCR) suggests adaptability and a willingness to tackle various challenges within the AI domain. The alignment with a Machine Learning Engineer role is very strong.
Soft Skills & Operational Fit
The resume indicates a strong focus on practical application and project delivery, suggesting good operational fit. The detailed project descriptions imply an ability to communicate technical concepts, though the overall clarity and conciseness could be improved for senior-level communication.