Hi, I'm

Charan Nandarapu

AI & ML Engineer

Building intelligent solutions with Machine Learning and Deep Learning

About Me

ANALYST, AI & ML DEVELOPER with a strong foundation in Artificial Intelligence and Machine Learning, coupled with practical experience in developing and optimizing production systems. Proven ability to automate complex workflows, manage databases and servers, and implement innovative solutions using Generative AI. Adept at leveraging deep learning frameworks and computer vision techniques for advanced applications, as demonstrated through academic projects and certifications. Seeking to contribute analytical and technical skills to challenging AI/ML roles.

2+

Years Experience

3

Projects Completed

1

Research Papers

3

Certifications

Skills & Expertise

Technical proficiency across AI/ML, software development, and production systems

Technical Skills

AI & Machine Learning

Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Generative AI
LLMs

Programming Languages

Python
C++
C
SQL
Bash
PowerShell
HTML
CSS

ML Frameworks

TensorFlow
PyTorch
Scikit Learn
Apache Spark

Tools & Technologies

Oracle
Linux
AutoSys
Jenkins CI/CD
Dynatrace
Deepstream
NVIDIA Jetson Nano
Git
Intellimatch

Methodologies

ETL Operations
CI/CD
Data Analysis
Problem Solving

Soft Skills

Communication
Time Management
Team Player & Leadership
Critical Thinking
Analytical Thinking
Adaptability

Work Experience

Associate Production Analyst

BNP Paribas

Jan 2024 - PresentChennai, India
Full-time

Managing production systems and implementing AI-driven automation solutions.

Key Responsibilities:

  • Developed and managed functionalities of the IntelliMatch application, ensuring seamless reconciliation of Cash, Trade, and Stock transactions globally.
  • Administered database and server management, including job and transaction monitoring, user support, application maintenance, and deployments using CI/CD.
  • Developed Python, PowerShell, SQL, and Batch scripts to automate and optimize ETL workflows, achieving a 30% reduction in manual effort.
  • Designed and implemented AutoSys jobs using JIL and SQL stored procedures for large-scale automation. Managed 400+ file watchers, 25+ alerting systems, achieving 50% reduction in manual monitoring.
  • Initiated the adoption of Generative AI tools in production and trained team members, leading to improved productivity and operational efficiency.

Technologies Used:

Python
SQL
Oracle
PowerShell
AutoSys
Jenkins CI/CD
Dynatrace
Linux
ETL

Featured Projects

Innovative AI/ML solutions from research to production

ActiveBrainNet
Research Project

ActiveBrainNet

A Novel Active Learning Paradigm for Brain Tumor Classification

Developed a novel deep-learning framework for medical image classification utilizing active learning methodologies. Leveraged human expertise to enhance model performance through a collaborative learning environment.

94%

Accuracy

22%

Data Required

Key Features:

  • Incorporated sampling strategies like Informativeness (entropy and marginal difference) and Representativeness (t-SNE pairwise similarities)
  • Achieved 94% accuracy with only 22% of labeled data
  • Introduced novel techniques for auto-termination of active learning using weighted averages
Deep Learning
PyTorch
Computer Vision
Active Learning
t-SNE
Animal Intrusion Detection
Academic Project

Animal Intrusion Detection

YOLOv5 & Computer Vision System

Built a deep learning framework trained on a custom dataset of 6000+ images using a pre-trained YOLOv5 model and fine-tuning techniques.

96%

Accuracy

6000+

Dataset Size

Key Features:

  • Achieved over 96% accuracy in detecting animal intrusions
  • Deployed the model into Deepstream for real-world application
  • Implemented on NVIDIA Jetson-nano Developer kit for edge computing
YOLOv5
Computer Vision
Deepstream
NVIDIA Jetson Nano
Python
Production Automation Suite
Professional Project

Production Automation Suite

ETL & Workflow Automation

Comprehensive automation system for production environments, reducing manual effort and improving operational efficiency.

30%

Efficiency Gain

50%

Monitoring Reduction

Key Features:

  • Automated ETL workflows with Python and PowerShell scripts
  • 30% reduction in manual effort through intelligent automation
  • Implemented 400+ file watchers and 25+ alerting systems
Python
SQL
AutoSys
PowerShell
Oracle
Jenkins

Education

B.Tech in Artificial Intelligence

SRM Institute of Science and Technology

Specialized in AI, ML, Deep Learning, and Computer Vision

9.18/10

2020 - 2024

Higher Secondary (PCM)

Sri Vivekananda Junior College, Chittoor

Physics, Chemistry, Mathematics

9.82/10

2018 - 2020

SSC (10th Grade)

Sri Bhanodaya E M High School, Chittoor

Secondary School Certificate

10/10

2017 - 2018

Certifications & Credentials

Certified AI Foundations Associate

Oracle

September 2024

Jetson AI Specialist - Deep Learning

NVIDIA

September 2022

Deep Learning for Industry 4.0 With Computer Vision

AJNA AI

Using Jetson nano developer kit

June 2022

Research & Articles

Published research and technical writing on AI/ML innovations

ActiveBrainNet: Revolutionizing Medical Image Classification
20248 min read

ActiveBrainNet: Revolutionizing Medical Image Classification

Exploring how active learning can achieve 94% accuracy with minimal labeled data in brain tumor classification.

CVIP-2025

Get In Touch

Let's discuss how I can contribute to your team and projects

Contact Information

Email

nandarapucharan065@gmail.com

Location

Chennai, India

Connect With Me

Send Me a Message

Charan Nandarapu

AI & ML Engineer passionate about building intelligent solutions and innovative technologies.

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