CORE ACTIVATION // P.B. YASHWANTH

SHAPINGINTELLIGENCE

Building neural systems that diagnose cancer, understand language, and optimize urban intelligence.

DOWNLOAD RESUME
15+
AI PROJECTS
97.2%
TOP ACCURACY
3
PUBLICATIONS
5+
AWARDS WON
System Ready // Scroll to Attach

Neural Core

CHEST PLATE ASSEMBLY // PROFESSIONAL SUMMARY
AVAILABLE FOR COLLABORATION

I am a passionate AIML Engineer dedicated to building intelligent systems that solve real-world problems. With expertise in Deep Learning, Computer Vision, and Natural Language Processing, I architect robust neural networks—from predicting medical diagnoses to optimizing city infrastructure.

My mission is to forge cutting-edge AI technologies that are not only powerful, but fundamentally safe and scalable.

Intelligence Forged

WEAPON SYSTEMS // GITHUB REPOSITORIES ONLINE
Medical AI

Pancreatic Cancer Prediction AI

Deep learning model for early detection and prediction of pancreatic cancer using medical imaging and patient data.

PyTorchResNetOpenCVFastAPI
VIEW REPOSITORY
NLP / LLM

NexTalk

Advanced RAG-based chatbot leveraging large language models to converse and retrieve information dynamically from local documents.

LlamaIndexChromaDBLangChainNext.js
VIEW REPOSITORY
Computer Vision + RL

Aegis-Eye

Smart traffic AI system utilizing YOLOv8 and reinforcement learning to optimize traffic light timings and detect anomalies.

YOLOv8PythonReinforcement Learning
VIEW REPOSITORY
Full Stack AI

AI-Powered Blog Platform

Intelligent blogging platform with auto-generation, summarization, and SEO optimization powered by AI APIs.

ReactNode.jsOpenAI APIMongoDB
VIEW REPOSITORY

Tech Arsenal

POWER SYSTEMS // MODULE SELECTION
90%

PyTorch

Deep Learning
95%

Python

Languages
85%

YOLOv8

Computer Vision
80%

OpenCV

Computer Vision
85%

LlamaIndex

NLP / LLM
80%

ChromaDB

NLP / LLM
75%

FastAPI

Backend
70%

React/Next.js

Frontend

The Process

ASSEMBLY PROTOCOL // EXECUTING SEQUENCES
01

Problem Discovery

Analyzing requirements and identifying optimal AI approaches.

02

Neural Architecture

Designing custom topologies for specialized ML tasks.

03

Implementation

Developing models and backend systems with clean code.

04

Validation & Testing

Rigorous evaluation and hyperparameter tuning.

05

Deployment

Containerization and optimized inference serving.

06

Iterate & Improve

Continuous monitoring and model fine-tuning.

Operating System

SYSTEM LOGS // KNOWLEDGE BASE INTEGRATION

Mentor

AIC-CIIC
2023 - Present

Mentoring startups and students on building scalable AI architectures and CV models.

B.Tech AIML

University
2020 - 2024

Focused on deep learning, neural networks, and computer vision algorithms.

Flight Systems

UPGRADES UNLOCKED // AWARDS & RECOGNITION
2023

1st Prize - TechFusion

National Tech Symposium

Won first prize for the best AI implementation in the healthcare sector.

2022

2nd Prize - READIT

READIT Hackathon

Developed an advanced OCR and NLP pipeline for automated document processing.