Adithya S Kolavi

AI Researcher, Building Generative AI solutions at Scale

About

AI Researcher with experience in building generative AI solutions. Skilled in taking products from concept to completion and leading teams effectively. Experienced in AI, ML, and DL technologies, web development, and cloud computing. I specialize in developing scalable AI solutions, from fine-tuning models to full deployment pipelines. My current focus is on Vision-Language Models (VLMs) for Vision-Based Retrieval systems. I'm also passionate about open-source, regularly contributing to various projects to advance AI innovation.

Work Experience

CognitiveLab
On Site

January 2023 - present

AI Researcher

Pioneered one of India's first Kannada bilingual Large Language Model - Ambari-7b. Developed Cognitune, an enterprise-grade LLMops platform, reducing time to production by 60%.

TurboML
Remote

June 2023 - present

AI Developer

Contributed to the development of LLMOps platform, focusing on AI system observability and evaluation. Implemented advanced tracing, monitoring, and analytics solutions to gain insights into large-scale AI systems, which enhanced model transparency and performance.

NeoHumans
Remote

June 2023 - present

AI Researcher

Spearheaded the fine-tuning of a Large Language Model (LLM) using a custom synthetic data generation pipeline for multilingual tasks. Successfully deployed the model in a scalable architecture, enabling robust performance across multiple languages and tasks.

Indian Institute of Science (IISC)
On Site

September 2023 - present

Research Intern

Conducting research on Multi-Modal adaptation of LLMs. Training Vision Language model for various use cases such as Video Understanding, Object Detection/Segmentation and Image QnA.

Mandelbulb Technologies
Remote

May 2023 - August 2023

Generative AI Developer

Engineered an end-to-end generative AI application, increasing user engagement by 30% and improving response time by 25%.

Enable Technologies
On Site

September 2022 - December 2022

Full Stack Developer

Developed the e-commerce platform enableupcycling.com, achieving a Lighthouse score of 90 in performance, accessibility, and SEO.

Skills

AI/ML/DL: PyTorch, Transformers, PEFT, Bitsandbytes, Diffusers, Hugging Face Ecosystem
Python Libraries: NLTK, Scapy, FastAPI, Flask, Django, OpenCV, BeautifulSoup, Selenium, Pandas, Poetry, Langchain
Web Frameworks: React.js, Next.js, Express, Node.js, Vue.js, Bootstrap, Tailwind
Cloud: Azure, Azure Machine Learning, AWS, AWS SageMaker, Docker, Kubernetes, Cloudflare, E2E Cloud
Big Data: Databricks, Azure Data Factory, Apache Spark, Hadoop, Kafka
Databases: MongoDB, PostgreSQL, Firebase, Redis, MySQL, Supabase, Pinecone, FAISS, Qdrant, ChromaDb
Languages: HTML, CSS, JavaScript, TypeScript, Python, C/C++, SQL

Open Source

omniparse
5322

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

ingestion-api
ocr
omniparser

RAG-SaaS
85

⚡Ship RAG Solutions Quickly and effortlessly

ai-saas
arize-phoenix
llamaindex

VARAG
335

Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine

colpali
multimodal-retrieval
rag

AI-Engineering.academy
161

Navigating the World of AI, One Step at a Time

fine-tuning
finetuning
finetuning-llms

indic_eval
32

A lightweight evaluation suite tailored specifically for assessing Indic LLMs across a diverse range of tasks

evaluation-framework
llm-evaluation
llms

Indic-llm
10

A open-source framework designed to adapt pre-trained Language Models (LLMs), such as Llama, Mistral, and Mixtral, to a wide array of domains and languages.

continual-pre-training
dpo
finetuning

Education

PES University

Bachelor's Degree in Computer Science