AI Engineer with less than a year in Deep Learning & GenAI
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Assessing your cultural and operational fit
AI Engineer skilled in Deep Learning, GenAI, and real-world AI product development. I build scalable AI systems using PyTorch, TensorFlow, FastAPI, LangChain/LangGraph, and modern deployment tools. Efficient, fast-learning, and impact-driven passionate about creating AI that solves meaningful real-world problems.
Galgotias College Of Engineering And Technology
B.Tech · Artificial Intelligence And Machine Learning
November 1, 2022 – August 1, 2026
Calsoft PVT LTD
AI Engineer Intern
March 1, 2026 – June 1, 2026
India
ConstemsAI
AI Engineer Intern
December 1, 2025 – February 1, 2026
India
Edublink: Smart Tools for Smart Teaching
June 29, 2026 – Present
Developed EduBlink, a production-ready AI-powered platform that generates high-quality educational content (MCQs, worksheets, lesson plans, PPTs, essays and more) within seconds using OpenAI GPT-40. Engineered a FastAPI-based backend and HTML,CSS based frontend with secure server-side API key management, rate limiting, input validation, and error handling, ensuring reliability and safe deployment. Enabled professional educator workflows through features like proof-reading, text summarization, content rewriting, report card comments, essay grading, and printable results export.
vitaScan AI
June 29, 2026 – Present
Designed a hospital-grade AI platform that reads medical reports like a clinician converting unstructured PDFs into clean, decision-ready health insights within seconds. Built a seamless medical experience where patients and doctors can visualize risks, chat with AI for clarifications, and download professional SOAP-style reports with one click. Combined AI reasoning, risk forecasting, visual storytelling, and medical reporting into a single platform — turning complex medical data into clarity, confidence, and action.
Nexanalyze AI - Transform Data Into Insights
June 29, 2026 – Present
Built an end-to-end AI-powered multi-agent system using FastAPI, LangChain, and GPT models to automate research, data analytics, sentiment prediction, and intelligent insights generation. Engineered advanced document and data analysis pipelines with statistical analysis, anomaly detection, correlation mapping, and time-series forecasting. Developed scalable ML modules including custom scikit-learn sentiment models, trend forecasting models, and automated visualization tools for generating charts, matrices, and professional reports.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of applications for AI, from healthcare (vitaScan AI) and data analytics (Nexanalyze AI) to education (Edublink). This breadth of interest and application suggests adaptability and a willingness to tackle varied challenges, which is positive for cultural fit. The stated passion for 'creating AI that solves meaningful real-world problems' aligns well with an impact-driven culture. The candidate is still pursuing a bachelor's degree, indicating a strong learning orientation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving (e.g., resolving HID issues, automating migration) and a product-oriented mindset (e.g., 'hospital-grade AI platform', 'production-ready AI-powered platform'). The focus on building scalable AI systems and solving real-world problems suggests a strong operational fit for an AI Engineer role. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.