Innovative AI/ML Engineer with a proven track record in developing cutting-edge LLM applications and scalable AI solutions. Recent graduate from Northeastern University (Dec 2023) with 4+ years of industry experience, currently driving AI innovation at Crewasis AI. Passionate about leveraging advanced AI/ML solutions to solve complex business challenges and create measurable impact.
- 🤖 LLM Applications: Built production-grade LLM solutions achieving 60%+ efficiency improvements
- 🧠 AI/ML Development: Developed scalable AI systems processing 50K+ data points with 75% improved efficiency
- 🔄 MLOps & Automation: Implemented automated pipelines reducing processing time by 70%
- 📊 Data Analytics: Created impactful dashboards driving 50% faster decision-making
- ☁️ Cloud & DevOps: Expertise in AWS, Azure, Docker, and Kubernetes for ML deployment
- 🛠️ Full Stack: End-to-end development with React, FastAPI, and modern tech stack
- 📈 Developed LLM applications that reduced manual effort by 60% and saved 10+ hours weekly
- 🤝 Built AI chatbots driving $100K+ in sales within 6 months
- 🚀 Created reusable SaaS modules increasing deployment speed by 40%
- 🎯 Achieved 85%+ accuracy in AI model deployments
- 📚 Led AI training initiatives resulting in 80% increased tool adoption
Advanced AI system for medical diagnostics and healthcare analysis.
- 🔧 Tech Stack: Python, LangChain, OpenAI API, FastAPI, React
- 🎯 Impact: 60% reduction in initial diagnosis time, 85% accuracy in preliminary assessments
- 🔍 Features: Symptom analysis, medical report generation, real-time health monitoring
- 🚀 Scale: Processes 10,000+ diagnostic requests daily with 99.9% uptime
ChatGPT-enabled intelligent system for parsing job descriptions into structured data.
- 🔧 Tech Stack: Python, spaCy, NLTK, Notion API, FastAPI
- 🎯 Impact: 90% reduction in manual parsing time, 95% accuracy in information extraction
- 🔍 Features: Automated skill tagging, requirement classification, salary range detection
- 🚀 Scale: Successfully parsed 100,000+ job descriptions
Advanced customer segmentation system for targeted marketing campaigns.
- 🔧 Tech Stack: Python, Scikit-learn, TensorFlow, Pandas, Seaborn
- 🎯 Impact: 40% increase in campaign conversion rates
- 🔍 Features: Customer behavior analysis, predictive modeling, segment optimization
- 🚀 Scale: Analyzed 1M+ customer records with real-time updating
