- 🎓 B.Tech in Computer Science (AI & ML) @ GVP College of Engineering
- 💡 Building AI solutions, cloud apps, and scalable full-stack systems
- 🤖 Experienced with LLMs, CNNs, YOLOv8, Reinforcement Learning
- 🌱 Exploring Generative AI + Cloud Deployments + iOS Development
- ⚡ Believer that every dataset has a hidden story
Data pipelines for extracting financial insights & visualizations.
Skills: Python · Pandas · Data Analysis · Visualization
Extended financial analysis by making LLMs interpret tabular Balance Sheet data in Jupyter.
Skills: Python · Jupyter Notebook · LLMs · NLP
Real-time anti-spoofing CNN system with 98% accuracy, deployed on AWS EC2 + SageMaker.
Skills: Python · Deep Learning · Computer Vision · TensorFlow · AWS
Built a real-time object detection model with YOLOv8 for detecting helmets, vests, and shoes.
- Achieved 96% accuracy on 50K+ annotated images.
- Reduced false negatives by 85% with fine-tuning.
- Developed an interactive monitoring UI to track PPE compliance.
Skills: Python · YOLOv8 · Object Detection · Computer Vision
Flask-based REST API for real-time LLM inference and predictions.
Skills: Python · Flask · HuggingFace Models · REST APIs
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Intern @ NIT K Surathkal (May–Jun 2025)
- Improved edge computing load balancing with SCG, achieving 18% latency reduction and 25% better resource use.
- Applied reinforcement learning for 20% more accurate task offloading.
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Intern @ Infosys Springboard (Oct–Dec 2024)
- Fine-tuned Mistral LLM to extract financial entities with high accuracy.
- Reduced analysis time by 50% using LLM-based pipelines.
- Optimized training/inference speeds with Kaggle GPUs.
- ✉️ Email: jitendrakolli18@gmail.com
- 🧑💻 LeetCode · HackerRank · Kaggle