I'm a Software Engineer specializing in AI/ML/LLM technologies with a passion for building intelligent, scalable applications. Currently working at Avenues International, I focus on developing AI-powered solutions using cutting-edge technologies like RAG, LangChain, and OpenAI APIs.

• 🔭 Currently working on AI-Enabled Data Insight Platforms and Agentic AI pipelines
• 🌱 Exploring advanced LLM fine-tuning, prompt engineering, and vector databases
• 💡 Experienced in building enterprise-grade applications with Django, AWS, and modern AI frameworks
• 🎯 Passionate about leveraging AI to solve real-world business problems

• Built robust Django web applications with MVT architecture and Django Rest Framework
• Designed asynchronous task pipelines using Celery and Redis for workflow automation
• Integrated enterprise services: Slack, Workday, HubSpot, Intercom, Courier, Sentry
• Developed OpenAI-powered survey analysis workflows for automated insights
• Implemented JWT authentication and Role-Based Access Control (RBAC)
• Deployed on AWS (EC2, RDS, Lambda, S3, SES) with improved uptime
• Refactored legacy codebase, reducing size by 25%

• Designed AI-driven platform using Hugging Face Transformers, LlamaIndex, LangChain, and LangFlow
• Implemented Retrieval-Augmented Generation (RAG) workflows for accurate insights
• Conducted LLM fine-tuning and prompt engineering for domain-specific needs
• Built Agentic AI pipelines for autonomous data querying and report generation
• Integrated OpenAI APIs for embeddings and natural language understanding
• Engineered scalable, modular architecture for seamless AI model integration

• Developed end-to-end web applications using Django, HTML, CSS, JavaScript
• Designed databases and implemented REST APIs
• Built Resume Analysis system using NLP and ML (spaCy, Pandas, NumPy)
• Automated workflows with shell scripting and Python
• Deployed applications on AWS EC2

Expertise: RAG, LlamaIndex, LangFlow, Fine-tuning, Prompt Engineering, Agentic AI, Vector Databases

Vector Databases: Qdrant, Supabase

• Built intelligent code modernization system using OpenAI, Hugging Face, and LangChain
• Automated code understanding and rewriting across multiple languages and frameworks
• Implemented CI/CD with GitHub Actions and SonarQube for code quality

• Engineered interactive tool using Next.js and FastAPI
• Implemented weighted prize distribution with device fingerprinting
• Integrated secure WhatsApp API for real-world prize redemption

• 🤖 AI Agents Fundamentals - Hugging Face
• 🎓 AI for Everyone - Coursera
• 📊 RAG with Vector Databases - LinkedIn Learning
• 💾 SQL (Intermediate) - HackerRank
• 💻 Software Engineer - HackerRank
• 🔐 OWASP Top 10 - LinkedIn Learning

skills = {
    "AI/ML": ["LLM Fine-tuning", "RAG", "Agentic AI", "Prompt Engineering", "NLP"],
    "Backend": ["Django", "Flask", "FastAPI", "REST APIs", "Celery", "Redis"],
    "Frontend": ["React.js", "Next.js", "JavaScript", "HTML/CSS"],
    "Cloud": ["AWS (EC2, RDS, Lambda, S3, SES)", "Docker", "CI/CD"],
    "Databases": ["PostgreSQL", "MySQL", "Redis", "Qdrant", "Supabase"],
    "AI Tools": ["OpenAI", "Hugging Face", "LangChain", "LlamaIndex", "LangFlow"],
    "Integrations": ["Slack", "Workday", "HubSpot", "Intercom", "Courier", "Sentry"]
}

B.Tech - Jain University, Bengaluru (2016-2020)

I'm always interested in collaborating on innovative AI/ML projects or discussing the latest in LLM technologies. Feel free to reach out!

• 📧 Email: [email protected]
• 💼 LinkedIn: Sreekanth Modupalli
• 📱 Phone: +91 8762253568