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Professional Experience

💼 Data Science & AI Developer

Bayesian Labs | Full-time | Oct 2024 – Mar 2025

  • Exploratory Data Analysis and Technical reports preparation
  • Developed ML models using Scikit-learn, TensorFlow, PyTorch
  • Built dashboards and visualizations with Streamlit, Plotly, Tableau
  • Implemented web scraping, APIs, and automated data pipelines
  • Worked on voice synthesis, chatbots, and AI automation projects
  • Experience Letter

🏆 Hackathon Projects

🚨 CrisisPilot – AI Disaster Monitoring

Beacon Builders Hackathon | Team Lead
iCodeGuru, ASPIRE Pakistan & Pak Angels

  • Developed a real-time disaster detection platform integrating AI-powered alerts and emergency guidance.
  • Built location-based alert pipelines for floods, earthquakes, and storms with severity analysis.
  • Implemented a 24/7 chatbot assistant for continuous crisis communication and support.
  • Utilized Streamlit for UI, Groq AI for language model inference, and Discord Webhooks for notifications.
  • Integrated Serper API for real-time information retrieval and updates.
  • Focused on enhancing rapid response capabilities and public safety during disasters.

Tech Stack: Streamlit, Groq AI, Discord Webhooks, Serper API, Python

🔗 Links:
• GitHub • Live Demo

🗣️ Voices of Intelligence – Multilingual AI

Lead with AI Agents Hackathon | Translation & Speech Developer
GenAI.Works

  • Created a modular multi-agent system for multilingual audio summarization and translation supporting 20+ languages.
  • Designed an agent architecture including Master, Audio, Summarization, Translation, and Speech agents for scalable workflow.
  • Integrated HuggingFace Transformers (BART, mBART) for high-quality language understanding and generation.
  • Employed Google Text-to-Speech (gTTS) for natural voice output in multiple languages.
  • Containerized the entire pipeline using Docker for reliable deployment and scaling.
  • Enabled smooth human-AI interaction through intelligent, voice-based responses.
  • Architecture: Master → Audio → Summarization → Translation → Speech Agents

Tech Stack: HuggingFace Transformers, Google TTS, Docker, GenAI AgentOS

🔗 Link:
• GitHub • Certificate

📈 Key Impact

• Real-time disaster monitoring with global reach
• Multilingual AI solutions (20+ languages)
• 80% reduction in data processing time
• Led teams in competitive environments

👩‍🏫 Python & AI Instructor

Instructor | June & July 2025

  • Conducted training sessions covering Python programming, AI foundations, and applied machine learning workflows.
  • Delivered practical lessons on Python scripting, environment setup, data types, functions, and OOP concepts.
  • Explained Markdown language and Jupyter Notebook usage for code documentation, experimentation, and reproducibility.
  • Provided guidance on project design and implementation strategies.
  • Initiated teaching opportunity through LinkedIn outreach mentoring an individual aspiring to transition into an AI role.

🛠️ Technical Skills

  • Programming & Data Science: Python (NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn, SciPy), SQL
  • ML & Deep Learning: Supervised/unsupervised learning, evaluation metrics, PyTorch, TensorFlow
  • Generative AI & LLMs: GANs, Stable Diffusion, Hugging Face, LangChain, Retrieval-Augmented Generation (RAG) applications, AI agents
  • NLP & Time Series: Transformers, sequence modeling, prompt engineering, retrieval-augmented generation
  • Data Visualization & BI: Tableau, Power BI, Streamlit, Gradio (web apps), dashboard design, Plotly
  • Web & APIs: Streamlit, Dash, API integration
  • Tools & Technologies: Docker, Git, Web Scraping, Speech Processing, NLP