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TECH / MACHINE_LEARNING // MODELS_IN_PRODUCTION

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Shemul takes deep learning beyond the notebook — X-ray disease detection and time-series forecasting at Ternary Solutions, conversational models like Britto AI and Fishy, fish-stock prediction with Fishtock, and satellite-data research at the Hydro-Climate and Ocean Center.

RUNTIME: Python

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AI_MODELS
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ARCHITECTURES
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ML_ROLES
INSPECT_TOOLKIT
PYTORCH
TENSORFLOW
KERAS
CNN
RNN
TRANSFORMER
MAMBA
NLP
TIME_SERIES
PANDAS
NUMPY
PYTORCH
TENSORFLOW
KERAS
CNN
RNN
TRANSFORMER
MAMBA
NLP
TIME_SERIES
PANDAS
NUMPY
01 // CAPABILITIES

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01

PyTorch

transformer seq2seq (Fishy)

02

TensorFlow

Britto AI · Fishtock

03

Keras

rapid model iteration

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CNN · RNN · Transformer · Mamba

architectures

05

NLP

conversational models

06

Time-series forecasting

production models

07

Pandas · NumPy

data wrangling

03 // FIELD_RECORD

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Jul 2024 — Present//Full-time · Hybrid

Software Engineer (Machine Learning)

Ternary Solutions, Inc.
  • Ternary Solutions, Inc. is a US-based information technology company operating in Bangladesh.
  • Shemul built a deep-learning model for disease detection from X-ray images using pretrained networks.
  • He builds deep-learning models for time-series forecasting and analysis.
Sep 2025 — Present//Research

Research Assistant

Hydro-Climate and Ocean Center
  • Shemul models spatial & environmental data in Python with machine learning on satellite-derived datasets.
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