Final-year AI & ML undergraduate at Sreenidhi Institute of Science and Technology. I specialize in designing intelligent systems that bridge research and real-world applications, focusing on resource-efficient solutions built with open-source technologies.
- 🧠 Research Focus: Computer Vision, NLP, and Applied Machine Learning
- 🔬 Published Research: "Retail Theft Detection System using YOLOv8 and DeepSORT" (IJSREM Journal)
- 🎯 GATE Achievements: AIR 4800 (2025) & AIR 6200 (2024) in Data Science & AI
- 🌱 Currently exploring AWS Developer Associate and RHCSA certifications
- 📝 Tech Content Creator at Techabhee.com
- 🎯 Goal: MS in Data Science/ML & contributing to applied AI research
A full-stack GenAI application that intelligently matches resumes with job descriptions using LLMs from OpenRouter, cosine similarity, and PDF parsing. Deployed on Vercel + Render.
Tech: Python, FastAPI, React, Mistral 7B, OpenRouter APIs, Cosine Similarity
Published Research Project - Real-time surveillance system that detects suspicious behavior in retail environments using computer vision and object tracking.
Tech: Python, YOLOv8, DeepSORT, OpenCV, Computer Vision Publication: IJSREM Journal
Advanced NLP-based binary classification system built during Intel Corporation project. Features comprehensive ML pipelines with TF-IDF and visualization tools.
Tech: Python, Streamlit, NLP, Scikit-learn, TF-IDF Live Demo: fakenewsdetection.streamlit.app
Automated personalized reminder system using open-source LLMs + n8n workflows with message variation to prevent notification fatigue.
Tech: n8n, LLMs, WhatsApp API, Automation Workflows
- 🥇 AIR 4800 - GATE 2025 (Data Science & AI)
- 🥈 AIR 6200 - GATE 2024 (Data Science & AI)
- 📚 Research Publication - "Retail Theft Detection System using YOLOv8 and DeepSORT" (IJSREM Journal)
- 🎓 Academic Excellence - 9.02 CGPA in AI & ML
- 📝 Tech Content Creator - 3+ years at Techabhee.com
- 🏆 Amazon Affiliate Associate - Content strategy & audience targeting
class AbhinayCherupally:
def __init__(self):
self.current_work = "Final Year AI/ML Student"
self.research_interests = ["Computer Vision", "NLP", "Applied ML"]
self.learning = ["AWS Developer Associate", "RHCSA", "Advanced Deep Learning"]
self.goals = ["MS in Data Science/ML", "Open-Source Contributions", "Applied AI Research"]
self.fun_fact = "I analyze smartphones and write tech reviews in my free time!"
def get_current_status(self):
return "Building intelligent systems that bridge research and real-world impact 🚀""Transforming ideas into intelligent solutions, one commit at a time."