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AI Engineer with less than a year in LLM Systems & 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
Machine Learning Engineer specializing in LLM Systems, Generative AI, and Retrieval-Augmented Generation (RAG). Experienced in building agentic AI systems, multi-agent workflows, and production-grade AI applications using Google Gemini, LLaMA, LangChain, and LangGraph.
JC Bose University of Science and Technology, YMCA
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Laneway
AI / ML Engineer
January 1, 2026 – April 1, 2026
India
Money Plant AI
AI / ML Engineer Intern
June 1, 2025 – August 1, 2025
India
Rehearse AI
June 18, 2026 – Present
Built AI rehearsal platform using Speech-to-Text, Text-to-Speech, NLP, and Streamlit. Enabled script upload, live voice transcription, pronunciation analysis, and natural AI voice playback. Improved user speaking confidence and preparation efficiency through personalized performance feedback.
View ProjectMedical Diagnosis Assistant
June 18, 2026 – Present
Built production-grade healthcare AI platform using Python, FastAPI, LangChain, Ollama, Pinecone, and RAG pipelines. Achieved 90%+ retrieval accuracy with low-latency hybrid semantic search for medical report analysis. Reduced hallucinations through source-grounded retrieval, prompt engineering, and structured outputs.
View ProjectAI Dental Appointment System
June 18, 2026 – Present
Designed LangGraph multi-agent system for appointment booking, cancellation, rescheduling, and patient query handling. Improved workflow success rates through tool-calling, state management, and automated conversation routing. Built scalable backend APIs for patient data and scheduling management.
View ProjectDemandIQ
June 18, 2026 – Present
Developed end-to-end retail analytics platform using Python, Streamlit, Pandas, Plotly, Prophet. Implemented SKU-level time series forecasting to predict next 12-week demand, improving inventory planning and replenishment. Built dashboards for pricing optimization, promotion effectiveness, store performance, and revenue growth insights.
View ProjectData Science Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including healthcare, e-commerce, and conversational AI, suggests adaptability and a broad interest in applying AI across different domains. Their experience with both internships and personal projects indicates initiative and a continuous learning mindset. The listed achievements and technical blogs further highlight a proactive approach to skill development and knowledge sharing, which generally aligns well with innovative and collaborative tech cultures. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through hackathon wins and LeetCode achievements. Their project descriptions indicate an ability to translate complex technical concepts into tangible solutions. The focus on optimizing performance and reducing manual effort suggests an operational mindset. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.