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Generative AI Engineer with 2+ years in LLM, Agentic AI, and Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer and Data Engineer with hands-on experience in LLM applications, Agentic AI workflows, Multi-Agent Systems, MCP-based architectures, and RAG pipelines using Python, LangChain, OpenAI, SQL, PySpark, Azure Databricks, and cloud platforms.
MIT World Peace University, Pune
M.Tech · Data Science and Analytics
August 1, 2023 – June 30, 2025
Kolhapur Institute of Technology, Kolhapur
B.Tech · Computer Science Engineering
August 1, 2018 – June 30, 2023
Dozen Diamonds
AI Engineer
September 1, 2025 – Present
India
S2RAG Innovation LLP
Cloud Engineer Intern
February 1, 2025 – August 1, 2025
India
Freight Tiger
Growth Engineer Intern
April 1, 2024 – October 1, 2024
India
Wolfox Pvt. Ltd
Full Stack Developer Intern
February 1, 2023 – June 1, 2023
India
Agentic AI Workflow System
November 1, 2025 – November 1, 2025
Built an LLM-powered intelligent multi-agent workflow using LangChain, ReAct architecture, and AI agent orchestration for autonomous task execution. Developed Retrieval-Augmented Generation (RAG) pipelines integrating vector databases, semantic search, embeddings, and context-aware reasoning.
Generative Models Reimagined: Review into Resource-Efficient Training
May 1, 2025 – May 1, 2025
Conducted research on resource-efficient training techniques for LLMs including pruning, quantization, and knowledge distillation. Researched transformer architectures, RLHF, embeddings, scalable inference optimization, and evaluation techniques for modern Generative AI systems. Evaluated model performance using benchmarking datasets and analyzed performance vs computational trade-offs.
DATASET FOR AGRICULTURE PEST IMAGES
November 26, 2024 – November 26, 2024
Co-author of a curated and labeled agricultural pest image dataset supporting machine learning and AI research.
Deloitte Australia's Data Analytics
Deloitte Australia
June 1, 2026 – Present
AWS Cloud Programme
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research, personal projects, and industry experience, demonstrates a proactive and continuous learning mindset. The roles held, from Full Stack Developer Intern to AI Engineer, show adaptability and a broad interest in technology, which can contribute positively to a dynamic team environment. The focus on Generative AI and related technologies aligns well with the target role, indicating a strong passion for the field.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate a strong focus on problem-solving, optimization, and delivering tangible results (e.g., 'reducing manual effort', 'improving data readiness', 'increasing answer accuracy'). Collaboration is also mentioned in a previous role. These traits suggest a good operational fit for a role requiring continuous improvement and practical application of AI.