class AkashKumar:
def __init__(self):
self.name = "Akash Kumar"
self.role = "AI Engineer & Full Stack Developer"
self.location = "Indore, MP, India"
self.current_work = [
"AI Engineer @ Formlogo (Redmond, WA)",
"Software Engineer @ Arete"
]
self.founded = [
"Kcron.com - AI-powered resume to portfolio converter",
"Consites.com - Web development solutions",
"Osmosian.tech - Technology consulting"
]
self.education = {
"IIT Chennai": "B.Sc Data Science (GPA: 3.2)",
"Tula's Institute": "BBA (GPA: 3)"
}
def current_focus(self):
return [
"Building production-ready LLM applications",
"RAG optimization & local inference",
"Document processing automation",
"Full-stack development with modern frameworks"
]
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together!")
me = AkashKumar()
me.say_hi()- π€ AI Engineering at Formlogo: Building & fine-tuning small LLMs (Llama 3.1/3.2) with 96.68% accuracy in PDF data extraction
- π RAG-based Applications: Developing intelligent systems using LangChain, ChromaDB, and Qdrant with Azure AI Studio
- ποΈ Scalable Document Processing: Processing 20+ document types with 2,000+ fields using Azure OCR & GPT-4o
- π― Startup Ventures: Growing Kcron, Consites, and Osmosian.tech
- π Learning: Advanced LLM optimization techniques, Unsloth, and Ollama for local inference
Sep 2024 - Present | Redmond, WA (Remote)
- Built and fine-tuned small LLMs using character embeddings on 45GB OpenWebTextCorpus
- Developed RAG-based applications with LangChain, ChromaDB, Qdrant, and Postgres
- Achieved 96.68% accuracy in PDF data extraction using Azure OCR and GPT-4o
- Created scalable document processing system supporting 20+ document types and 2,000+ fields
- Implemented UI automated testing workflows using Selenium & GitHub Actions
Dec 2022 - Aug 2024 | Indore, MP
- Developed ML model for tree detection using drone videos, Google Maps satellite imagery with 95%+ accuracy
- Utilized YOLO, Tesseract, and OpenCV for object detection and image processing
- Strong proficiency in statistical analysis, data mining, and predictive modeling
- Built data pipelines for processing millions of PhonePe transactional data rows
π¨ Kcron
AI-Powered Resume to Portfolio Converter
- Transforms resumes into personal portfolio websites within minutes
- Curated persona portfolios with smart tiles (Crons)
- Tools for skill analysis, recommendations, and job-aligned enhancements
- Tech Stack: React, LLM, RAG, Azure AI, LangChain
Minimalist Chrome Extension for Task Management
- Manage to-do lists locally with a clean, clutter-free interface
- Add, track, and remove tasks seamlessly
- Boosts daily productivity with an intuitive design
- Tech Stack: JavaScript, Chrome Extension API, HTML, CSS
Smart Web Page Organization Tool
- Save, organize, and categorize web pages effortlessly
- Personalized folders with tags and notes
- Transform browsing into a curated digital library
- Tech Stack: JavaScript, Chrome Extension API, Local Storage
ML-Powered Field Analysis System
- Detects live, dead, and total trees in fields using drone videos
- Integrates Google Maps satellite imagery and ground-level images
- 95%+ accuracy using YOLO, Tesseract, and OpenCV
- Tech Stack: Python, YOLO, OpenCV, Machine Learning
- π₯ Top 300/50,000+ - Ranked on CodeKata competitive coding platform
- π₯ 2nd Place - Guvi DataHacks for processing millions of PhonePe transactional data
- π Top 5 Finish - IIT Madras DataHacks national-level hackathon (ML model for stock market prediction)
- π Machine Learning for Business Professionals - Coursera (Google)
- π Probability and Statistics: To p or not to p? - Coursera (University of London)
- π Master Data Science Program - Guvi (IIT Madras)
- Coming soon on Medium!
const goals2024 = {
shortTerm: [
"Scale Kcron.com to 10K+ users",
"Optimize RAG pipelines for production",
"Master advanced LLM fine-tuning techniques",
"Contribute to open-source AI projects"
],
longTerm: [
"Build successful SaaS products",
"Become a thought leader in AI/ML space",
"Expand Osmosian.tech consulting services",
"Write technical blogs & tutorials"
],
learning: [
"Advanced LangChain patterns",
"Vector database optimization",
"Kubernetes & microservices",
"System design at scale"
]
};I'm always open to:
- πΌ Collaboration on AI/ML and full-stack projects
- π Startup opportunities and consulting gigs
- π Knowledge sharing and technical discussions
- π― Open source contributions


