Hi! I'm Balaji Kartheek 👋

I'm a Conversational AI Engineer at Avaamo.ai, specializing in LLM evaluation frameworks, RAG systems, and computer vision applications. I design and implement evaluation systems to benchmark LLM performance and enhance retrieval-augmented generation pipelines.

With experience in LangChain, Django, RAGAS, and OpenVINO, I build scalable AI solutions that solve real-world problems. From geriatric depression support chatbots to DeepFake detection systems, I'm passionate about creating impactful AI applications.

About Me

I’m a curious, self-driven engineer who learns best by building. Over the last few years, I’ve explored computer vision, RAG systems, vector databases, and LLM evaluation pipelines through hands-on projects and real-world use cases.

My thinking is highly analytical and structured – I enjoy breaking down complex systems, automating repetitive workflows, and experimenting with model optimization and evaluation strategies. Whether it’s building a safety detection system, an exercise recognition app, or a batch evaluation pipeline for an LLM chatbot, I like to understand how every piece fits together.

A big part of my motivation comes from impact. Many of my projects are oriented towards real problems: drowsiness detection for safety, surveillance and recognition systems, packaged food infestation detection concepts, and AI solutions for businesses. I also care a lot about my own growth – from improving my English communication to staying consistent with fitness and health.

Right now, I’m working in QA at Avaamo.ai, testing AI products and pipelines, while actively transitioning into ML/AI engineering by building projects, learning deeply about LLMs & RAG, and exploring agentic workflows and evaluation frameworks.

Personality & Working Style

  • Curious & self-driven – I explore new tools, frameworks, and ideas just for the joy of learning.
  • Persistent & hands-on – I prefer learning by building complete systems rather than only theory.
  • Calm & organized – I tackle multi-step systems (LLMs + RAG + evaluation + deployment) with clarity.
  • Empathetic & helpful – I gravitate towards projects with real societal or practical impact.

🔥 Recent Updates

  • 2024 - Present: Working as Conversational AI Engineer at Avaamo.ai, focusing on LLM evaluation frameworks and RAG pipeline optimization.
  • 2023: Completed internship at Intel Corporation, working on computer vision optimization using OpenVINO toolkit.
  • 2023: Achieved Kaggle Notebook Expert status.
  • 2020 - Present: Pursuing B.Tech in Data Science Engineering at Manipal Institute of Technology with CGPA 8.8/10.0.

📝 Projects

Geriatric Depression Support Chatbot

Technologies: LLM, Sentiment Analysis, Voice Integration

Developed an AI-driven chatbot to assist elderly individuals with depression and loneliness. Integrated multimodal inputs (voice/text), sentiment analysis, and multilingual support. Implemented negative sentiment detection with automated Twilio alerts for caregivers.

Code: View Code

DeepFake Detection

Technologies: TensorFlow, OpenCV, Flask

Designed and developed an end-to-end scalable Deep Learning project. This detection system was trained using an InceptionV3 (CNN) + GRU (Sequential) model to classify videos as real or fake, achieving a test accuracy close to 90%.

Demo: View Demo

Travelzy FullStack Project

Technologies: Bootstrap, MongoDB, Express.js

Implemented a user-friendly and intuitive search feature that allows users to filter restaurants and places based on criteria such as cuisine type, rating, and location, enhancing their browsing experience.

GitHub: View on GitHub

🎖 Honors & Awards

  • Kaggle Notebook Expert – Recognized for expertise in data science and machine learning notebooks

📖 Education

Manipal Institute of Technology

B.Tech (Data Science Engineering)

CGPA: 8.8/10.0

Duration: Jan 2020 - Aug 2024

Course Work

  • Mathematics for ML/DL
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Artificial Intelligence
  • Data Structures and Algorithms
  • Object Oriented Programming
  • DBMS

💬 Invited Talks

I'm passionate about sharing knowledge on LLM evaluation, RAG systems, and computer vision applications. As I participate in tech talks, meetups, or conferences, they will be listed here.

💻 Work Experience

Conversational AI Engineer @ Avaamo.ai

Jan 2024 - Present

  • Designed and implemented evaluation frameworks to benchmark LLM performance, ensuring responses aligned with user queries, intents, and business context.
  • Collaborated on projects involving LangChain, Django, and RAGAS to enhance retrieval-augmented generation (RAG) pipelines.
  • Implemented the Batch Processing for LLM-based applications, validating prompt robustness, intent coverage, and error handling.
  • Contributed to experimentation with fine-tuning and prompt-engineering strategies for domain-specific LLMs, driving measurable improvements in response quality.

Computer Vision Intern @ Intel Corporation

Jun 2023 - Aug 2023

  • Used Intel's optimization skills and OpenVINO toolkit for social distance tracking using computer vision.
  • Made the most of OpenVINO's improvements in deep learning models and hardware, leading to much faster processing.
  • Displayed higher FPS rates on compatible hardware, showing how well optimized models and hardware speed things up.

🧠 Technical Skills

Languages: Python, SQL, JavaScript

Frameworks & Tools: LangChain, LangGraph, RAGAS, PyTorch, Django, AWS EC2, FastAPI, OpenCV, NLTK

Specializations: LLM Evaluation, RAG Systems, Computer Vision, Deep Learning, Natural Language Processing