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Software Engineer at Tmotions Global Limited | CSE graduate from Chandigarh University, focused on building scalable systems and AI/ML solutions.
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Assessing your cultural and operational fit
Tmotions Global Limited
Data Scientist
June 16, 2026 – Present
Hugging-Face-Spaces-Expert
September 6, 2025 – September 8, 2025
Hugging-Face-Spaces-Expert — GitHub repository
View ProjectTalentScout
March 26, 2025 – March 26, 2025
TalentScout an AI-powered chatbot that conducts structured technical interviews using LangChain and Google's Gemini 2.0 Flash. It collects candidate details, identifies their tech stack, and generates tailored questions while maintaining context and ensuring data security. Built with Python, LangChain, and Streamlit
View ProjectSmart-Learning-app-for-Coding
March 20, 2025 – April 28, 2025
Smart-Learning-app-for-Coding — GitHub repository
View ProjectAgentic-AI-Financial-Advisor-using-Phidata
January 2, 2025 – January 2, 2025
Agentic-AI-Financial-Advisor-using-Phidata — GitHub repository
View ProjectAppleGen-Legacy-Assistant
December 16, 2024 – December 16, 2024
AI-powered CLI for exploring Apple’s history using PDFs, LangChain, Chroma vector search, and Ollama LLMs.
View ProjectSMS_Spam_Detection_using_ML
June 10, 2023 – June 10, 2023
SMS spam detection using ML: Collect labeled dataset, preprocess messages, extract features, train ML model (e.g., Naive Bayes, SVM, RNN), evaluate performance, deploy for real-time detection, continuously improve with feedback. Enhances user security by filtering unwanted SMS.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI and Machine Learning, which aligns well with a Data Scientist role. The diversity of AI-related projects (spam detection, chatbots, financial advisors, historical data exploration) indicates a broad interest within the field. However, the lack of team-based projects or contributions to open-source beyond personal repositories limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.