Headline

AI Engineer | GenAI, LLMs, RAG & Agentic AI | Voice AI & Multi-Agent Systems | ML Engineering | Python, FastAPI, AWS Cloud | Open to Relocate

About

🚀 Dreaming of a smarter future where technology and society intertwine beautifully, I am Nallapati Yallaiah, a B.Tech Computer Science student passionate about artificial intelligence, cloud solutions, and sustainable tech advancements. Curiosity and a rigorous academic backdrop at K L University fuel my ambition, as I strive to be at the forefront of digital transformation. 👨‍💻 My hands are frequently dipped in diverse projects ranging from Full-Stack Development with Python and Django for smart cities to pioneering Machine Learning models for health innovations like cancer predictions - all grounded in real-world applications. With proficiency in an array of technical skills from AWS cloud services to JavaScript frameworks, I am continuously expanding my toolkit. 💡 What exhilarates me? Collaborating on projects that challenge the status quo and make a tangible difference. This mindset has directed my journey from coding robust algorithms to leading sustainable technology solutions for social good. 🌐 Beyond the screen, I am a fervent participant in hackathons, a yoga enthusiast, and a burgeoning community leader. I believe in blending tech expertise with soft skills to craft solutions that resonate with real people. 📫 Keen to explore collaborative opportunities or just curious about my work in AI and sustainable tech? Feel free to connect or take a look at my projects on my LinkedIn.

Location

Bengaluru

AI stack

anthropic apis

claude code

codex

hugging face

langgraph

langsmith

Work experience

AI Engineer Intern at Revspot, Aug 2026 - Present · 1 mo, Bengaluru, As an AI & Voice Agent Intern at Revspot Technologies, I work within the Founder's Office, contributing to the design, testing, and optimization of AI-powered voice agents and conversational AI solutions. My role focuses on Prompt Engineering, Voice AI workflows, quality assurance, latency optimization, and AI automation initiatives. I collaborate closely with business and technical teams to improve voice agent performance, analyze conversation quality, identify root causes of issues, and support the development of AI proof-of-concepts (POCs). My work involves leveraging Large Language Models (LLMs), Speech-to-Text (STT), Text-to-Speech (TTS), and Agentic AI frameworks to build intelligent, scalable, and business-focused AI solutions. Key Areas: • AI Voice Agents & Conversational AI • Prompt Engineering & LLM Workflows • Agentic AI & AI Automation • Voice Quality Analysis & Optimization • Latency Reduction & Performance Tuning • POC Development & Testing • Root Cause Analysis & Troubleshooting • Python, FastAPI, LangChain & LangGraph

AI Engineer Intern at AppXcelerate Solutions Pvt Ltd, Jun 2025 - Aug 2026 · 1 y 2 mo, Bengaluru, Karnataka, India, Worked as a Python Developer Intern / AI Engineer Intern at AppXcelerate Solutions Pvt. Ltd., contributing to the development of AI-powered applications, cloud-based solutions, enterprise automation systems, and conversational AI platforms. Built scalable backend services, REST APIs, AI chatbots, and voice-enabled solutions while leveraging AWS, Python, and Generative AI technologies. Key Contributions: • Developed and maintained backend applications using Python, FastAPI, and REST APIs. • Built AI-powered chatbots, RAG applications, and conversational AI solutions for enterprise use cases. • Designed and integrated cloud-native solutions using AWS services such as Lambda, S3, API Gateway, DynamoDB, and Bedrock. • Worked on multilingual chat and voice bot solutions, including LLM-based workflows and voice automation. • Developed and integrated vector search and embedding-based retrieval systems for intelligent document querying. • Built automation workflows and enterprise applications to streamline business operations. • Collaborated with cross-functional teams to design, test, deploy, and optimize AI solutions. • Implemented API integrations, data processing pipelines, and cloud deployments for production-ready applications. • Contributed to proof-of-concepts (POCs) involving Generative AI, Voice AI, and Agentic AI workflows. Technologies: Python, FastAPI, AWS Lambda, API Gateway, DynamoDB, S3, Bedrock, OpenAI, LangChain, RAG, Generative AI, Conversational AI, Voice AI, REST APIs, Docker, Git, JavaScript.

Data Engineering Virtual Intern at Amazon Web Services (AWS), Jan 2024 - Mar 2024 · 3 mos, Remote, Completed a 10-week Data Engineering Virtual Internship under the AICTE EduSkills program supported by AWS Academy. Learned cloud-based data engineering concepts and AWS services. Worked on data processing, cloud infrastructure, and industry-oriented learning modules. Gained practical exposure to AWS ecosystem and data engineering workflows.

Education

Bachelor of Technology, Computer Science and Engineering (Artificial Intelligence & Intelligent Process Automation), kl university

Intermediate in Science (Maths, Physics, Chemistry), sri chaitanya junior college