App LogoApp name
KB

Ketan Bagewadi

Open to work1 years experience

Software Engineer

RemoteTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Software Engineer skilled in Python, Machine Learning, LLM, NLP, RAG, and Backend Development.

GitHub

Standing Rank

Rank Not Available

Developer Badges

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Skills & Technologies

30 skills
pythoncpytorchscikit-learnpandasdjango rest frameworkbootstraptailwindcsspostgresqlmysqldockerkubernetesjenkinsnginxdigitaloceanawsazuregitgithubunix/linuxmachine learningdeep learningnlpdata analysisweb scrapingllmbertragllamaprompt engineering

Work Experience

Software Developer

NetSense CyberSecurity Pvt. Ltd.

Mar 2025 - Present
  • Software Developer working on Python, Machine Learning and Deep Learning to detect and flag phishing and malicious websites.
  • Designed and deployed dual production website classification for 40+ categories using Llama 3.1 8B and 250- thread Selenium pipeline and also implemented using the Sentence-t5-xxl NLP model with cosine-similarity and zero-shot classification.
  • Deployed CRM system using Python, Django, Django REST Framework, JavaScript, Ajax, Linux, Nginx, Azure Directory, DigitalOcean Droplet and PostgreSQL.
  • Optimised CRM Web App to query from and sync with 2+ Database servers.
  • Built a LLM-based network anomaly detection system using DNS and NetFlow data with rule-based +LLM (Meta-Llama-3.1 8B) to detect cyber threats.

Projects

DeepFake Detection

PythonGoogle ColabPyTorchHTMLCSSJavaScript
  • Developed a deepfake detection project utilizing deep learning techniques.
  • Implemented an architecture combining ResNeXt and LSTM models for accurate identification and classification of deepfake videos.

LLM-Powered RAG ChatBot

PythonLangChainOpenAIOllamaLLMRAG
  • Developed an AI chatbot using GPT-4o-mini, Llama 3 fallback, and LangChain to deliver reliable, real-time conversational responses.
  • Built a RAG-based chatbot using ChromaDB, document chunking, embeddings, and semantic retrieval for context-aware responses and improved answer accuracy.
  • Containerized the frontend and backend using Docker, orchestrated services with Docker Compose, and deployed the RAG application using Kubernetes.

AI ChatBot Android App

Android StudioJavaFirebaseGoogle PaLM-2 API
  • Developed an Android application proficient in processing text input and generating responses for a wide array of questions sourced from the Google PaLM-2 API.
  • Engineered an application with capabilities of ChatGPT like conversational capabilities.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Phishing Detection Accuracy

Achieved 95%-97% accuracy in detecting true phishing websites on live traffic.

CRM Optimization

Accomplished 30% faster read and write operations for CRM Web App.

About Details

Professional Bio

Software Engineer skilled in Python, Machine Learning, LLM, NLP, RAG, and Backend Development. Passionate about building scalable AI applications and backend systems. Seeking AI/ML or DevOps roles.

Bachelor of Engineering in Computer Science & Engineering

KLE Dr. M.S. Sheshgiri College of Engineering and Technology, Belgaum, Karnataka ( - 2024)

Languages: English, Hindi