Hello, I'm

Ranjith Kumar K.N.

Building intelligent systems that solve real-world problems through innovative AI solutions and cutting-edge research.

About Me

I'm a passionate AI Engineer with expertise in developing intelligent systems that solve complex problems. With a strong background in machine learning and deep learning, I create innovative solutions that drive business value.

My Journey

With over 5 years of experience in AI and machine learning, I've worked on projects ranging from computer vision applications to natural language processing systems. My passion for AI began during my graduate studies, where I focused on developing algorithms for pattern recognition.

I've collaborated with cross-functional teams to deliver AI solutions that address real-world challenges across industries including healthcare, finance, and e-commerce. My approach combines technical expertise with a deep understanding of business needs.

Education & Certifications

  • Master of Science in Big Data Analytics, AI Specialization St. Joseph’s College (Autonomous) - Bengaluru, Karnataka, India, Jun 2020 - Jul 2022
  • Bachelor of Computer Applications Seshadri-Puram Institution of Management and Science – Seshadri-Puram, Bengaluru, Karnataka, India, Jun 2016 - Jul 2019

My Skills

Programming Languages

Python 85%
R 85%
JavaScript 85%
Linux 85%

Big Data Tools

Hadoop 80%
Spark 80%
Scala 80%
Hive 80%
NoSQL 80%

Machine Learning

ML Algorithms 80%
Deep Learning 80%

Natural Language Processing

LLM 80%
NMT 80%
HuggingFace 80%

Business Intelligence

Google Data Studio 80%
Microsoft Power BI 80%
Tableau 80%

Design & Prototyping

Adobe Illustrator 90%
Adobe Photoshop 90%
Adobe Express 90%

ML & DL Frameworks

TensorFlow 80%
PyTorch 80%
Keras 80%

Cloud Computing

AWS 80%
Azure 80%
Google Cloud Platform 80%

Work Experience

My professional journey in the field of artificial intelligence and data science.

AI Engineer

Analytical Intelligence International

Jan 2025 - Present

Lead the development of LLM & VLM for autonomous systems. Designed and implemented deep learning models that improved object detection accuracy by 35%. Managed a team of 4 engineers and collaborated with cross-functional teams to deliver projects on time.

PyTorch TensorFlow Computer Vision Azure Devops MLflow

ML Data Engineer

Shodh AI

June 2024 - Jan 2025

As a ML Data Engineer at Shodh AI, I design and implement data pipelines and frameworks to support the development of cutting-edge AI solutions for LLM and Data Foundry. I work closely with data scientists and machine learning engineers to ensure the availability and quality of data for training and evaluation of models.

Python NLP HuggingFace Spark Azure LLM SLM DevOps AWS

Data Engineer

PRAVAIG PVT LTD

Jan 2023 - June 2024

Develop data connection agents for various data sources - structured and un-structured. Build Autonomus Driving System data pipelines and ADAS systems with Ingreate LLM framework. Collaborate with data scientists to ensure data quality and availability for model training. Implemented a data validation framework that reduced data errors by 30%.

NLP Python HuggingFace Spark Azure Devops AWS LLM

Big Data Engineer

TATA CONSULTANCY SERVICES (TCS).

Apr 2022 - Oct 2022

Offered friendly and efficient service to customers, handled challenging situations with ease.Led projects and analyzed data to identify opportunities for improvement. Developed and maintained data pipelines for large-scale data processing. Collaborated with cross-functional teams to deliver high-quality solutions.

R Python SQL Tableau Statistical Modeling

Research Assistant

Menmozhi Techonologies.

Feb 2022 - May 2022

Experience in the space of Software Development in Computer Vision utilizing a mix of customary Image Processing based and current Machine Learning/Deep Learning-based methods. Worked on the development of a computer vision-based solution for real-time object detection and tracking. Collaborated with a team of researchers to publish findings in a peer-reviewed journal.

TensorFlow Reinforcement Learning Research Methods

My Projects

Explore my portfolio of AI and machine learning projects that demonstrate my expertise in developing innovative solutions.

Neural Image Synthesis

Product-Photography-with-generative-A.I

The script is designed for background change tasks and can be useful in creative applications or image editing workflows.

VLM GANs PyTorch Transformers
Intelligent Recommendation Engine

Math Solver with Retrieval-Augmented Generation (RAG)

The Math Problem Solver with Retrieval-Augmented Generation (RAG) is a Python-based project designed to automate the solving of mathematical problems using state-of-the-art natural language processing (NLP) techniques. It leverages the power of Transformers models, fine-tuned on mathematical datasets, to provide accurate solutions to algebraic and linear equations.

NLP Transformers TensorFlow Python LLM AWS
Conversational AI Assistant

Dog_emotion_identification_system

We follow the ICML's official training, validation, and test sets while training on our dataset (FER2013 dataset reference). Our dataset contains 5954 pictures of four main emotions: anger, fear, happiness, and sadness.

Emotion Detection CNN AWS FastAPI
Anomaly Detection Platform

Anomaly Detection Platform

Real-time anomaly detection system for IoT sensor data using unsupervised learning algorithms and time-series analysis.

Anomaly Detection Time Series Scikit-learn Kafka

Get In Touch

Have a project in mind or want to discuss potential collaborations? Feel free to reach out to me using the form below.

Contact Information

Email

ranjith.kumar.kn26@gmail.com

Location

Bengaluru, Karnataka, India

Phone

+91 9008769944

Send Message

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