Loading Portfolio...

Abhinandan Onajol

AI Engineer Crafting Scalable Solutions in RAGs, AI Agents, and Advanced Machine Learning

Abhinandan Onajol

About Me

Strong foundation in programming, data structures, algorithms, and core software engineering principles. Proficient in developing scalable, efficient, and reliable software systems. Experienced with collaborative tools like Jira for agile project management. Deep interest in Artificial Intelligence, focusing on RAGs, AI Agents, and advanced machine learning. Committed to solving complex problems and delivering innovative, high-impact solutions.

Education

KLE Technological University, Hubballi, Karnataka

B.E. in Computer Science (Artificial Intelligence) | KLHSSCET, Belagavi, Karnataka | Nov 2022 – Present

  • GPA: 8.42/10
  • Relevant Coursework: Embedded Intelligent Systems, Machine Learning and Deep Learning

Ekalavya PU College, Belagavi, Karnataka

Pre University – Science Stream | Aug 2020 – Mar 2022

  • Achievement: Achieved 96.17% aggregate, ranked first in PU College

Vishwa Bharati High School, Belagavi, Karnataka

High School | June 2016 – Mar 2020

  • Achievement: Academic Excellence: Scored 96.00%, ranked in the Top 3 of institution

Certifications & Publications

Peer-Reviewed Publication:

  • “LoRA Adapter Weight Tuning with Multi-Task Learning for Faux-Hate Detection” – ACL Anthology 2024
  • Proposed novel adaptation of LoRA for multi-task hate speech detection
  • Presented at ACL 2024 (Association for Computational Linguistics)

Certifications:

  • Applied Generative AI – Infosys (2025)
  • Data Analytics Essentials – Cisco (2025)
  • Operating Systems Basics – Cisco (2025)
  • Introduction to Java – Sololearn (2025)
  • Machine Learning with Python – IBM (2024)
View My CV

GitHub Statistics

0
Repositories
0
Total Stars
0
Followers

Technical Skills

Programming Languages

Python90%
Java85%

AI & Machine Learning

Deep Learning88%
RAGs & AI Agents92%

Frameworks & Tools

TensorFlow/PyTorch85%
LangChain88%

Development Tools

Git & GitHub90%
VS Code & Colab95%

Cloud & DevOps

GCP80%
Docker75%

Data Engineering

ETL Pipelines82%
SQL & NoSQL85%

Projects

Footfall Counter

Computer Vision Footfall Counter

Python, YOLOv8, ByteTrack, OpenCV, CUDA | Sep 2025 – Oct 2025

  • Project Scope: Designed and implemented an intelligent footfall counting system using state-of-the-art deep learning for surveillance applications
  • AI Integration: Deployed YOLOv8-nano for real-time person detection and ByteTrack algorithm for robust multi-object tracking
  • Performance: Achieved 79 FPS processing on 720p video using GPU acceleration, successfully counted 73 entries and 75 exits across 3604 frames
PythonYOLOv8OpenCVCUDA
Cybersecurity Platform

Cybersecurity Intelligence Platform

Python, Multi-Agent AI, NVD API | Oct 2025 – Present

  • Objective: Engineered a multi-agent AI system for real-time threat intelligence analysis, vulnerability assessment, and incident response planning
  • Architecture: Implemented 4-agent collaborative system with sequential context-aware task execution
  • Integration: Integrated free-tier APIs (NVD, CIRCL, MITRE) for real-time CVE data retrieval
  • Impact: Automated markdown reports with CVSS scoring and mitigation strategies, reducing threat analysis time by 95%
PythonMulti-Agent AINVD API
Knee Detection

AI-Powered Knee Osteoarthritis Detection System

PyTorch, Android Studio | Mar 2025 – Jun 2025

  • Objective: Developed medical diagnostic tool for early detection of knee osteoarthritis from X-ray images
  • Model Architecture: Implemented MobileNetV3 with custom classification head
  • Optimization: Reduced model size through pruning and quantization techniques
  • Performance: Achieved 77.6% accuracy with sub-second inference time on mobile devices
PyTorchAndroid StudioQuantization
Customer Analytics

Customer Data Analytics Platform

Informatica Cloud, ETL, Data Visualization | Mar 2025 – Jun 2025

  • Data Integration: Built ETL pipelines to consolidate customer data from 5+ sources
  • Analytics: Developed dashboards for tracking customer lifetime value and churn prediction
Informatica CloudETLData Visualization

System Design Playground

Interactive architectural simulator. Add components and simulate traffic.

Components

Load Balancer
API Server
Database
Redis Cache

Controls

User
System Status: 0ms Latency 0 RPS
*Simplified simulation

Professional Experience

Artificial Intelligence Intern, Bitlance Tech Hub Pvt Ltd

Nov 2025 – Feb 2026
  • Developed scalable backend services using FastAPI and Next.js full-stack integration
  • Engineered realistic Text-to-Speech systems using ElevenLabs and Kokoro LLM
  • Streamlined multimedia and data processing using Pydantic, Pydub, PyPDF, and Pillow
  • Integrated LLMs to build end-to-end AI-powered solutions

Coding Club Core Member, KLE Technological University

Belagavi, Karnataka | Mar 2025 – Apr 2025
  • Organized weekly coding challenges and peer programming sessions to boost problem-solving skills among club members

Machine Learning Intern, Cognifyz Technologies

Bengaluru, Karnataka | Jul 2024 – Aug 2024
  • Predictive Modeling: Finetuned ensemble models (Random Forest) for sales forecasting achieving 89% accuracy
  • Feature Engineering: Created automated pipelines for feature selection and hyperparameter tuning

B.E. in Computer Science (AI), KLE Technological University

Nov 2022 – Present

Focused on Embedded Intelligent Systems, Machine Learning and Deep Learning.

Get In Touch

RECRUITER MODE ACTIVE - Simplified View
Recruiter Mode

Project Title

Quick Scan

Key Competencies

  • Artificial Intelligence & RAGs
  • Machine Learning Architectures
  • Large Language Models (LLMs)
  • Cloud & DevOps (GCP, Docker)

Experience Summary

  • AI Intern @ Bitlance Tech Hub (FastAPI, LLMs)
  • ML Intern @ Cognifyz (Sales Forecasting)
  • Coding Club Core Member @ KLE Tech

Education

  • B.E. CS (AI) - 8.42 GPA
  • Relevant Coursework in AI/ML

Key Achievements

  • ACL 2024 Publication (LoRA/NLP)
  • 96.17% Aggregate in Pre-University