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AI Engineer | RAG Pipelines · LLM Agents · Agentic AI Systems | Python · LangChain · LangGraph · AWS | Mumbai, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
resume-ai
March 1, 2026 – Present
AI resume analyzer built with Groq LLaMA-3.3-70b and Streamlit — upload resume, get instant structured feedback
View ProjectResume-ATS-Agent-
January 18, 2026 – Present
Multi-agent ATS resume optimizer — 4 CrewAI agents rewrite and score your resume against any job description
View Projectmedicare-ai-assistant
September 9, 2025 – Present
RAG chatbot for medical PDFs — ask questions about any medical document using LangChain, FAISS and Streamlit
View ProjectMLForEveryday
February 11, 2025 – July 20, 2025
Practical machine learning notebooks — regression, classification and data analysis with scikit-learn
View ProjectU.K.-Road-Accident-Analysis
November 19, 2024 – November 19, 2024
UK road accident data analysis and Power BI dashboard — trends, hotspots and severity patterns 2019-2022
View ProjectRetail-Analysis
February 7, 2024 – Present
End-to-end retail data pipeline: Amazon S3 to Snowflake (AUTO_INGEST) to Power BI — FMCG campaign analytics
View ProjectCredit_card_fraud_detection_Crisp_metrics_task
April 21, 2021 – April 21, 2021
Credit card fraud detection using machine learning — classification models and performance evaluation
View ProjectDiabetes-Crisp-metrics-task
April 21, 2021 – April 21, 2021
Diabetes prediction using machine learning classification — logistic regression and model evaluation
View ProjectCar-Price-Predictions
November 18, 2020 – November 18, 2020
Car-Price-Predictions — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong self-starter attitude and a passion for learning new technologies, particularly in the AI/ML domain. The diversity of projects, from traditional ML to modern AI agents and data pipelines, suggests adaptability and a broad interest in data-related challenges. This aligns well with a culture that values continuous learning and innovation. However, without team-based project experience or direct work experience, assessing collaboration and other cultural aspects is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Project descriptions indicate an ability to work independently on self-directed tasks.