AI Engineer with 1+ years in Python, ML, and Backend Development
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Assessing your cultural and operational fit
Python Developer and AI/ML Engineer with 1+ year of experience in building scalable backend systems and intelligent applications. Skilled in FastAPI, Machine Learning, NLP, and Retrieval-Augmented Generation (RAG). Experienced in working with embeddings, vector databases (FAISS), and deploying applications using Docker. Proven ability to develop end-to-end solutions, optimize performance, and solve real-world problems using data. Strong understanding of API development, model integration, and production-level deployment practices.
MEDICAPS UNIVERSITY
B.Tech. · Electronics & Communication Engineering
August 1, 2021 – June 30, 2024
GOVERNMENT POLYTECHNIC COLLEGE
Diploma · Electronics & Telecommunication Engineering
August 1, 2018 – June 30, 2021
THERAPIDHIRE PRIVATE LIMITED
Experience
November 1, 2025 – February 28, 2026
India
VECTED TECHNOLOGIES PVT LTD
Experience
August 1, 2024 – July 31, 2025
India
Amazon Sales Data Analysis Project
June 1, 2025 – June 30, 2026
Collected and cleaned large sales datasets using Python (Pandas, NumPy). Performed Exploratory Data Analysis (EDA) to identify sales trends and customer behavior. Created visualizations using Matplotlib and Seaborn to highlight key insights. Analyzed product performance, revenue patterns, and peak sales periods. Generated actionable insights to support data-driven decision-making.
View ProjectLocal PDF Chatbot using RAG
June 1, 2025 – June 30, 2026
Developed a chatbot to answer user questions from PDF documents. Used FAISS and Sentence Transformers to retrieve relevant text from PDFs. Applied re-ranking to improve answer accuracy. Integrated TinyLLaMA using Ollama to generate responses based on document content. Built the interface using Streamlit. Deployed the application using Docker.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate initiative and a self-driven learning approach, which aligns well with an innovative culture. The diversity of projects, from data analysis to chatbot development, shows a breadth of interest and adaptability. The experience in both data processing and backend development for AI applications indicates a versatile skill set suitable for cross-functional teams. However, the limited professional experience (less than 1 year) means there's less evidence of long-term team collaboration or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to develop end-to-end solutions and a focus on practical application. The experience in backend development and data analysis suggests a structured approach to problem-solving. However, without direct assessment data on soft skills, it's difficult to fully evaluate collaboration, stress handling, or communication in a team setting.