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SDE Intern @ Teemo.ai | Passionate about LLMs, NLP & full-stack ML systems | AWS Certified | 200+ DSA problems solved
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TravelBuddy-India
April 19, 2026 – Present
TravelBuddy India is an AI-powered assistant that combines RAG, tool use, and chat memory to deliver grounded travel guidance for destinations across India.
View ProjectHack4IMPACTTrack2-AI_Ke_Agents
March 19, 2026 – Present
Sentinel AI is an AI-powered Network Intrusion Detection System that classifies network traffic flows as BENIGN or ATTACK using a deep convolutional neural network trained on the CICIDS-2017 dataset, served via a FastAPI backend with a real-time dark-mode web dashboard.
View Projectnids-team
January 24, 2026 – Present
A deep learning-based network intrusion detection system using 1D CNNs trained on CICIDS2017 to classify network traffic as benign or malicious.
View Projectdatich
January 15, 2026 – Present
Datich is a full-stack web platform that leverages machine learning to analyze text input and provide dynamic, visual sentiment metrics focused on mental health.
View Projectnids
October 19, 2025 – Present
Network-intrusion detection app trained on KDD Cup data. Builds a scikit-learn pipeline (preprocessing, PCA, KNN), saves the pipeline to models, and exposes a Streamlit UI for single, batch, and random predictions. Displays accuracy, confidence, neighbor insight, and sample details.
View Projectnext_word_prediction
October 4, 2025 – October 4, 2025
LSTM next-word predictor that tokenizes text, builds n-gram sequences, trains embedding and LSTM, generates words from seed, plots performance metrics
View ProjectLoadBalancer
September 23, 2025 – November 11, 2025
This project implements a Zero Trust Architecture (ZTA) for a multi-server system that can handle a large user base efficiently while ensuring strong security
View ProjectCountry-Flag-Scrapper
July 30, 2023 – August 5, 2023
Python code to get the flag of all countries by scraping Wikipedia
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, demonstrating initiative and a passion for applying machine learning to real-world problems, particularly in cybersecurity and NLP. The diversity of projects, from deep learning NIDS to AI-powered travel assistants, suggests a broad interest and ability to learn new domains. However, the lack of team-based or open-source contributions makes it difficult to assess collaboration and cultural alignment in a professional team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of taking on diverse technical challenges. The variety of projects suggests adaptability and a willingness to explore different domains within AI/ML. However, without specific psychometric test results or interview data, it is difficult to assess communication clarity, teamwork, or stress handling directly.