Arbaz Khan
Bengaluru
Summary
Analytically driven professional with a background in data analysis, adept at optimizing productivity and task efficiency. Specialize in machine learning, predictive modeling, LLM and AI Agents. Bring critical thinking, problem-solving, and teamwork skills to excel in collaborative environments.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Software Engineer
Technoforte Software Pvt Ltd.
07.2021 - Current
- Developed a Streamlit-based chatbot UI that interacts with a locally hosted LLaMA2 model using the Ollama framework.
- Developed the Churn prediction model using Logistic Regression using customers details and helped client in decision making with accuracy of 89% using various accuracy metrics and resulting in approval process optimization with 12% increase in approval rates.
- Collaborated with cross-functional teams to design and execute stress testing scenarios, improving predictive accuracy by 15%.
- Built a fully functional chat interface using Streamlit and LLaMA3-8B (via Groq API) to interact with uploaded PDF documents in natural language.
Education
Bachelor of Technology -
Lovely Professional University
Jalandhar, Punjab05.2021
Skills
- Data Visualization: Power BI, Tableau, Excel
- Cloud Technologies: Azure, Docker, Streamlit, AWS(ECS, Lambda, and S3), CI/CD, FastAPI
- Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow,Keras, PyTorch), SQL
- Machine Learning: Linear Regression, Logistic Regression, Random Forest, SVM, K-Nearest, Time-Series Forecasting (ARIMA, Prophet, LSTM)
- Deep Learning: ANN, CNN, RNN, Transformer, NLP, LLM, Computer Vision
- Generative AI: Hugging face, RAG, Prompt Engineering, Vector Database, LangChain, AI Agents, Agentic AI, Multi AI Agents, LLM,BERT,GPT, OPENAI, Gemini, Groq, Ollama,MLOps
- Statistics & Probability: A/B Testing, Hypothesis Testing, Normalization, Standardization, Bayes Theorem
Certification
- Microsoft Certified: Azure Fundamentals
- SQL Hackerrank
Projects
Movie Recommendation System
- Employed collaborative filtering, content-based filtering, and hybrid recommendation techniques.
- Evaluation Metrics: Used metrics such as RMSE (Root Mean Square Error) and MAE (Mean Absolute Error) to evaluate model performance
AI Powered Multi Language Translator
- Developed with Transformers & Hugging Face (Integrated MarianMTModel for machine translation) and Deployed using Streamlit
- Multi- Language Support and utilized pre-trained sequence-to-sequence transformers for neural translation
Real- Time Object Detection Using YOLOv8
- Developed a real-time object detection system using YOLOv8 and OpenCV for live video processing
- Implemented Ultralytics YOLOv8 Pre-trained on the COCO dataset to detect and classify objects accurately.
- Designed bounding box visualization pipeline to display detected objects with confidence scores
Timeline
Senior Software Engineer
Technoforte Software Pvt Ltd.
07.2021 - Current
Bachelor of Technology -
Lovely Professional University
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