AI Engineer with less than a year in LLM Applications & RAG Pipelines
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Assessing your cultural and operational fit
AI Engineer and Data Engineer with hands-on experience in LLM applications, Agentic AI workflows, and RAG pipelines using Python, SQL, LangChain, PySpark, Azure Databricks, and cloud platforms. Skilled in ETL pipelines, semantic search, embeddings retrieval, prompt engineering, API integration, and backend automation for production-ready AI and data solutions. Focused on scalable architecture, context handling, retrieval optimization, data processing, and reliable deployment.
MIT World Peace University
M.Tech · Data Science and Analytics
August 1, 2023 – August 1, 2025
Kolhapur Institute of Technology
B.Tech · Computer Science Engineering
August 1, 2018 – May 1, 2023
Dozen Diamonds
AI Engineer
September 1, 2025 – Present
India
S2RAG Innovation LLP
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February 1, 2025 – August 1, 2025
India
Freight Tiger
Growth Engineer Intern
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India
Wolfox Pvt. Ltd
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February 1, 2023 – June 1, 2023
India
Agentic AI Workflow System
November 1, 2025 – November 1, 2025
Built an LLM-powered agentic workflow system leveraging LangChain and ReAct design patterns for intelligent task execution. Integrated REST APIs, complex JSON data schemas, and custom prompt orchestration to establish safe, multi-turn context handling and robust output validations.
AWS Cloud Programme
AWS
June 1, 2026 – Present
Deloitte Australia's Data Analytics
Deloitte Australia
June 1, 2026 – Present
Generative Models Reimagined: Review into Resource-Efficient Training
IEEE ICCC 2025 - 6th International Conference on Control, Communication
May 1, 2025 – Present
DATASET FOR AGRICULTURE PEST IMAGES
Indian Copyright Act
November 26, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from full-stack development to cloud engineering and specialized AI/ML roles, indicates adaptability and a broad interest in technology. The current role as an AI Engineer at Dozen Diamonds aligns directly with the target role, demonstrating a clear career path and commitment to the AI domain. Participation in research and publications further suggests a proactive and learning-oriented mindset, which generally contributes positively to cultural fit in innovative environments. The breadth of skills across programming, AI/GenAI, data engineering, and cloud platforms shows a versatile profile.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in cross-functional teams during an internship, suggesting an ability to work effectively in a team environment. The focus on designing and deploying production systems implies an understanding of operational requirements and reliability. However, without specific assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.