Akhil Nelaturi, Developer in Hyderabad, Telangana, India
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Akhil Nelaturi

Verified Expert  in Engineering

Artificial Intelligence Developer

Hyderabad, Telangana, India

Toptal member since May 2, 2022

Expertise
Machine LearningPythonOpenCVVisual Studio DevelopmentTensorFlowPyTorchNLPGPT-4Agile DevelopmentGitAWSSQLFlaskComputer Vision
Bio

Akhil is a promising developer with 3+ years of experience. He started as a machine learning engineer, then at Straive, he worked as a data scientist, and now, at Attentive AI, he holds the role of computer vision research engineer. Akhil contributed to projects in the segmentation, object detection, computer vision, natural language processing, and time series fields and deployed projects using TensorFlow Serving, Docker, Flask, REST API endpoints, Windows executable files, and Windows service.

Portfolio

Attentive AI
Python, PyTorch, Computer Vision, Semantic Segmentation...
Straive
Python, Flask, Linux, Amazon Web Services (AWS), Azure Computer Vision API...
InnovatorsBay
Python, TensorFlow, Flask, Reinforcement Learning, Deep Reinforcement Learning...

Experience

  • Computer Vision - 4 years
  • Python - 4 years
  • Object Detection - 4 years
  • TensorFlow - 3 years
  • PyTorch - 3 years
  • Generative Pre-trained Transformers (GPT) - 2 years
  • Natural Language Processing (NLP) - 2 years
  • Amazon Web Services (AWS) - 2 years

Availability

Part-time

Preferred Environment

Linux, Windows, Visual Studio Code (VS Code), Python, TensorFlow, PyTorch

The most amazing...

...thing I've developed is a footfall counting software with state-of-the-art deep learning computer vision algorithms used by Sangeeta mobiles all across India.

Work Experience

Computer Vision Research Engineer

2021 - PRESENT
Attentive AI
  • Built a segmentation model on aerial images–geospatial data–to automate landscape measurements and reduced manual effort of annotation of geospatial data by 60%.
  • Scheduled, tracked, and fixed bugs using Jira as a reporting tool and Confluence for documentation.
  • Build an end-to-end evaluation and report generating script for accessing the different versions of the trained models.
Technologies: Python, PyTorch, Computer Vision, Semantic Segmentation, Amazon Web Services (AWS), Google Cloud Platform (GCP), AWS Deployment, Agile Software Development, Jira, Team Management, Mentorship, HTML Integration

Data Scientist

2020 - 2021
Straive
  • Built, single-handedly, an end-to-end system to detect the type of traffic sign and tag the corresponding geographical location. Trained an object detection model (FRCNN), able to automate about 70% of the manual work of identifying traffic signs.
  • Tracked and fixed bugs using Jira as a reporting tool.
  • Deployed it as a Docker container in an AWS instance.
  • Created a custom optical character recognition (OCR) to detect handwritten documents.
Technologies: Python, Flask, Linux, Amazon Web Services (AWS), Azure Computer Vision API, Optical Character Recognition (OCR), NGINX, Machine Learning Operations (MLOps), Docker, Natural Language Toolkit (NLTK), Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Computer Vision, Object Detection, Scikit-learn, OpenCV, TensorFlow, PDF, Information Extraction, Jira, Agile, Team Management, Interactive JavaScript

Machine Learning Engineer

2019 - 2020
InnovatorsBay
  • Designed and built the entire dynamic pricing engine using a deep reinforcement learning algorithm, the Deep Deterministic Policy Gradient (DDPG).
  • Created a custom Gym-OpenAI environment to simulate the demand and supply.
  • Worked on real-time demand forecasting to create dynamic prices based on the predicted demand and supply.
Technologies: Python, TensorFlow, Flask, Reinforcement Learning, Deep Reinforcement Learning, Research, Literature Review, Time Series, Demand Forecasting

Experience

Autonomous Driving

https://github.com/Dekki-Aero/Self-Driving-Car
Built a regression model based on a convolutional neural network (CNN) for a self-driving car. This autonomous driving model predicts the steering angle to be turned when viewing an image of the road.

Education

2016 - 2018

Master's Degree in Aerospace Engineering

Indian Institute of Technology Kharagpur - Kharagpur, West Bengal, India

2012 - 2016

Bachelor of Technology Degree in Aerospace Engineering

Jawaharlal Nehru Technological University, Kakinada - Kakinada, Andhra Pradesh, India

Certifications

SEPTEMBER 2020 - PRESENT

Applied Machine Learning

Applied AI Course

Skills

Libraries/APIs

TensorFlow, PyTorch, OpenCV, Azure Computer Vision API, Natural Language Toolkit (NLTK), Scikit-learn, React, Node.js

Tools

Git, MATLAB, NGINX, AWS Deployment, Jira

Languages

Python, SQL, Fortran, HTML, CSS, JavaScript

Platforms

Visual Studio Code (VS Code), Amazon Web Services (AWS), Linux, Windows, Docker, Google Cloud Platform (GCP)

Frameworks

Flask

Paradigms

Agile Software Development, Agile

Other

Research, Object Detection, Data Science, Machine Learning, Exploratory Data Analysis, Reinforcement Learning, Deep Reinforcement Learning, Natural Language Processing (NLP), Team Management, Mentorship, Generative Pre-trained Transformers (GPT), OpenAI GPT-4 API, Literature Review, Time Series, Demand Forecasting, Optical Character Recognition (OCR), Machine Learning Operations (MLOps), Computer Vision, PDF, Information Extraction, Semantic Segmentation, Autonomous Navigation, Data Analysis, Aerodynamics, Interactive JavaScript, HTML Integration

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