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Ganesh Deepak

AI/ML Engineer @ Ribbon Communications | Deep Learning · Computer Vision · NLP | IIT Kharagpur ’24

Bengaluru

2+ years of work experience

Ribbon Communications
Feb 20267 mosPresent

Bengaluru, Karnataka, India

Axis Bank
Aug 20241 yr 7 mosFeb 2026

Mumbai, Maharashtra, India

NoBroker.com
May 20233 mosJul 2023

Bengaluru, Karnataka, India

Text2text models for Inverse Text Normalization in Automatic Speech Recognition • Utilized prompt engineering with GPT-3.5 Completions API for standardized output from ASR model generations. • Optimized various Text To Text Transfer Transformer (T5) models on ASR generations and GPT outputs. • Enhanced textual transcript correction to 88.8% and numerical transcript correction to 96.8% using T5-mini (30M). • Developed multilingual models achieving 88.1% for Telugu and 91.6% for Tamil, excelling in Hinglish calls. • Assessed GPU inference times and memory requirements, leading to deployment on Callzen.ai.
Centre for Artificial Intelligence & Robotics, DRDO
May 20223 mosJul 2022

Multi-class Weather Classification Using Single Image via Feature Fusion and Selection • Created a weather classification module for autonomous self-driving vehicles using images from the vehicle. • Innovated a feature extraction method combining Histogram of Oriented Gradients and CNN features. • Applied transfer learning to integrate Resnet, Densenet and Vision transformer models with pretrained weights. • Trained an SVM classifier on Deep CNN and HOG fused features after feature selection and reduction. • Attained state-of-the-art accuracy of 99.65% on a feature combination of DenseNet-161 fused with HOG.

Ganesh’s AI Stack

claude code
claude code
hugging face
hugging face
langgraph
langgraph
mcp
mcp
n8n
n8n
windsurf
windsurf

Education

Indian Institute of Technology, Kharagpur

Integrated Dual Degree, Mechanical Engineering

Indian Institute of Technology, Kharagpur

20195 yrs2024
FIITJEE

FIITJEE

20172 yrs2019

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Headline

AI/ML Engineer @ Ribbon Communications | Deep Learning · Computer Vision · NLP | IIT Kharagpur ’24

About

I build AI and data systems that work at scale - from ML models that classify weather conditions at 99.6% accuracy to ETL pipelines processing ₹10 lakh crore+ in daily transactions. Currently an AI/ML Engineer at Ribbon Communications in Bengaluru, I work at the intersection of machine learning, and real-time communication systems. Previously, I designed 40+ scalable data pipelines at Axis Bank, automating regulatory reporting across 90M+ accounts for RBI submissions. My research background spans computer vision and NLP. At DRDO's Centre for AI and Robotics, I built a multi-class weather classification module for autonomous vehicles, achieving state-of-the-art results - work that was published at CVIP 2022 (Springer). At NoBroker, I fine-tuned T5 models for multilingual ASR correction, reaching 96.8% accuracy on numerical transcripts and deploying the system to production on Callzen.ai. What I bring to the table: → End-to-end ML: data pipelines, model training, optimization, deployment → Deep learning: CNNs, Transformers, transfer learning, feature fusion → Data engineering at scale: PySpark, Informatica, Oracle SQL, Apache Spark → Research: published author, IIT Kharagpur dual degree (B.Tech + M.Tech) → Languages: Python, SQL, PySpark, C/C++ I'm passionate about solving complex problems where AI meets real business impact, whether that's improving speech recognition, or enabling autonomous systems. Core Skills: Machine Learning, Deep Learning, Computer Vision, NLP, PyTorch, TensorFlow, PySpark, ETL Pipelines, Data Engineering, MLOps, Transfer Learning, Object Detection, Feature Engineering, Model Deployment Open to connecting with fellow ML engineers, researchers, and anyone building interesting things with AI. Reach me at v.ganeshdeepak@gmail.com.

Location

Bengaluru

AI stack

claude code

hugging face

langgraph

mcp

n8n

windsurf

Work experience

AI/ML Engineer at Ribbon Communications, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India

Data Engineer at Axis Bank, Aug 2024 - Feb 2026 · 1 yr 7 mos, Mumbai, Maharashtra, India

Data Science Intern at NoBroker.com, May 2023 - Jul 2023 · 3 mos, Bengaluru, Karnataka, India, Text2text models for Inverse Text Normalization in Automatic Speech Recognition • Utilized prompt engineering with GPT-3.5 Completions API for standardized output from ASR model generations. • Optimized various Text To Text Transfer Transformer (T5) models on ASR generations and GPT outputs. • Enhanced textual transcript correction to 88.8% and numerical transcript correction to 96.8% using T5-mini (30M). • Developed multilingual models achieving 88.1% for Telugu and 91.6% for Tamil, excelling in Hinglish calls. • Assessed GPU inference times and memory requirements, leading to deployment on Callzen.ai.

ML Research Intern at Centre for Artificial Intelligence & Robotics, DRDO, May 2022 - Jul 2022 · 3 mos, Multi-class Weather Classification Using Single Image via Feature Fusion and Selection • Created a weather classification module for autonomous self-driving vehicles using images from the vehicle. • Innovated a feature extraction method combining Histogram of Oriented Gradients and CNN features. • Applied transfer learning to integrate Resnet, Densenet and Vision transformer models with pretrained weights. • Trained an SVM classifier on Deep CNN and HOG fused features after feature selection and reduction. • Attained state-of-the-art accuracy of 99.65% on a feature combination of DenseNet-161 fused with HOG.

Education

Integrated Dual Degree, Mechanical Engineering, Indian Institute of Technology, Kharagpur

FIITJEE

Public links

github: https://github.com/ganesh-deepak

Ganesh Deepak - AI/ML Engineer in Bengaluru | Tal