Achyut L.

Software Engineer

Hyderabad, Telangana, India5 yrs 4 mos experience

Highly Stable

Key Highlights

Expert in AI/ML acceleration and deep learning libraries.
Proficient in developing Python-based regression infrastructure.
Strong background in mobile and web application development.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with a focus on AI/ML applications.

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Skills

Core Skills

Python (programming Language)TensorflowLong Short-term Memory (lstm)Convolutional Neural Networks (cnn)Android DevelopmentMern StackScikit-learn

Other Skills

JavaXMLFirebaseWeb InfrastructureMySQLNestJSSoftware DesignMATLABAutoCADMachine LearningCommunicationData ScienceSQLReact.jsJavaScript

About

Currently working in the AIG-AIE team at AMD as an SWE (AI/ML Acceleration). My work includes developing Python bit-exact kernels for deep learning libraries and building bit-exact models for CNNs and vision models. I’m actively involved in fine-tuning inference using ONNX models, with a strong emphasis on quantization to enhance both performance and efficiency. Additionally, I develop and maintain Python-based regression infrastructure to support continuous integration and rigorous testing workflows. I also integrate and profile external models using custom Python scripts to generate test data, measure performance, and ensure optimal hardware utilization. Passionate about solving complex problems and constantly improving, I thrive in dynamic environments that challenge me to grow. I’m a collaborative team player, eager to learn, innovate, and contribute to high-impact, cutting-edge initiatives that advance AI performance and real-world applicability.

Experience

5 yrs 4 mos

Total Experience

2 yrs

Average Tenure

1 yr 7 mos

Current Experience

Amd

Software Engineer (Contractor)

Sep 2024 – Present · 1 yr 7 mos · Hyderabad, Telangana, India · On-site

1) Developing Python bit exact kernels for deep learning libraries and Python bit exact models for CNNs/Vision Models.
2) Working on fine-tuning deep learning inference using ONNX models, with a focus on quantization for improved performance and efficiency.
3) Develop and maintain regression infrastructure using Python to support continuous integration and testing workflows.
4) Integrated and profiled external models with Python scripts to generate test data, measure performance, and ensure efficient hardware use.

Python (Programming Language)TensorFlow

Exide industries limited

Software Engineer Intern

Dec 2023 – Apr 2024 · 4 mos · Kolkata, West Bengal, India · On-site

1) Created an Android application for digital visiting cards using Java, XML, and Firebase, integrating an OCR-based interface to detect and extract card information via camera for seamless digital sharing.
2) Created an ML time series forecasting model using LSTM-CNN, integrating it with a React front- end and a Python Flask backend, enhancing the accuracy and accessibility of predictive analytics for users.

Python (Programming Language)TensorFlowLong Short-term Memory (LSTM)Convolutional Neural Networks (CNN)Android Development

Cre matrix

Software Engineer Intern

Jun 2023 – Jul 2023 · 1 mo · Mumbai, Maharashtra, India · On-site

1) Developed a NestJS REST API for product control and servicing, backed by a MySQL database and documented with Swagger, streamlining service request handling and reducing average response time.
2) Developed a full‑stack MERN application for client financial tracking, embedding a machine‑learning module (scikit‑learn) to forecast cash‑flow trends and classify spending patterns. Achieved 96% accuracy on 3‑month revenue projections.

MERN StackWeb InfrastructureMySQLNestJSPython (Programming Language)Scikit-Learn

Corizo

Intern

Dec 2022 – Jan 2023 · 1 mo · Noida, Uttar Pradesh, India · Remote

Designed and implemented an E commerce application GoBuyNow, with seamless UI, cart option and a demo payment gateway. Made using MERN stack technology.
https://github.com/AL-510/GoBuyNow

MERN StackWeb InfrastructureSoftware Design