Swaleha Parveen — Lead ML Engineer
I’m passionate about building agentic AI systems and intelligent productivity tools using multi-agent workflows, Retrieval-Augmented Generation (RAG), and LLM orchestration. My work revolves around designing autonomous AI agents, workflow automation, and custom AI assistants to enhance efficiency across diverse use cases. 🔹 AI & Machine Learning Expertise - Autonomous Agents: Developing self-directed AI systems for task execution using frameworks like CrewAI, AutoGen, and LlamaIndex. - NLP & LLMs: Leveraging HuggingFace Transformers, OpenAI, LangChain, and LlamaIndex for advanced language understanding and generation. - ML/DL: Proficient in PyTorch, TensorFlow, Keras, and Scikit-Learn for building and deploying machine learning models. - MLOps: Implementing model tracking and deployment pipelines with MLflow. 🔹 Cloud & Infrastructure - Cloud-Native AI: Building scalable AI/ML solutions on Azure, and GCP - Infrastructure as Code: Managing deployments using Docker - Vector & Graph Databases: Working with FAISS, ChromaDB, and Pinecone for efficient data retrieval. - Data Engineering: Optimizing relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for AI applications. 🔹 Full-Stack AI Development - API & Backend: Developing AI-powered APIs with FastAPI and deploying on HuggingFace Spaces - Interactive Tools: Building dashboards using Streamlit, Gradio, and Tableau - Web Scraping & Automation: Extracting and processing data with BeautifulSoup, Selenium, and Requests* 🔹 Productivity & Compliance - AI-Powered Documentation Creating precise technical resources for AI and data products. - Prompt Engineering: Fine-tuning generative AI outputs for accuracy and relevance. 🚀 Current Focus: - Experimenting with multi-agent collaboration for workflow automation. - Enhancing RAG architectures for enterprise knowledge management. - Optimizing LLM performance through efficient dataset structuring and retrieval. Let’s connect and explore how AI can drive innovation!
Stackforce AI infers this person is a specialist in AI safety and autonomous systems development.
Experience: 5 yrs 4 mos
Skills
- Artificial Intelligence
- Data Science
- User Experience
- Project Management
- Technical Writing
Career Highlights
- Expert in building autonomous AI systems.
- Proficient in multi-agent workflows and RAG.
- Strong background in AI safety research.
Work Experience
AIFT
AI Security Engineer (2 mos)
AI Safety Camp
Researcher (4 mos)
Tutke
AI Researcher (2 mos)
AI Safety UAE
Artificial Intelligence Engineer (4 mos)
BlueDot Impact
AGI Strategy Fellow (4 mos)
CrowdStrike
Member of the Technical Staff (1 yr 5 mos)
Cadence Design Systems
Senior Engineer (9 mos)
Engineer (1 yr 11 mos)
WebEngage
Information Architect (4 mos)
IBM
Information Developer (6 mos)
Education
Post Graduate Diploma in Business Management at Symbiosis Centre for Management Studies- Pune
Computer Science at Bhilai Institute of Technology (BIT), Durg