Aryansh Tiwari

Professional Portfolio

info@griddynamics.com

+1 (650) 523-5000

Skills

Programming Languages

Python

Machine Learning

Supervised LearningClassificationRegression

Statistical Modeling

Proportional Hazards Models

Software Development

Code Vulnerability DetectionPrompt Engineering (AI-driven Content Generation)

Tools & Technologies

FastAPINumPyPandasScikit-learnAST Parsing and AnalysisManim (Mathematical Animation Library)FFmpeg (Programmatic Video Processing)WebSockets (Real-time Data Streaming)Streamlit (Interactive ML/Demo Apps)gRPC (Microservices Communication)AWS Certified Cloud Practitioner

About

Experienced in working with cutting-edge technologies such as Abstract Syntax Trees (ASTs), Manim, FFmpeg, WebSockets, Streamlit, and gRPC. Contributed to the development of an AI-based Content Creator Studio, implementing the scene-chaining pipeline that enabled generation of 20+ minutes of video from a single user prompt. Demonstrated ability to apply theoretical concepts to real-world problems and build production-ready solutions.

Experience

ML Intern

Mercedes-Benz

July 2024 – December 2024

Designed a machine learning–based robustness evaluation system to predict software quality before testing.
Extracted metrics like Halstead complexity and McCabe cyclomatic complexity, then calculated a robustness score based on test pass/fail ratios.
Trained models, including proportional hazard models, to forecast robustness of future versions and identify potential failures early, reducing unnecessary testing cycles.

ML Intern

Ericsson

August 2023 – October 2023

Developed a network anomaly detection system using the K-Nearest Neighbors (KNN) algorithm to automatically identify irregular patterns in network traffic.
Designed the pipeline for data preprocessing, distance-based classification, and threshold-based anomaly flagging.
The system effectively detected unusual behavior, improving early detection of potential security threats and network issues.

AI/ML Intern

Grid Dynamics

January 2024 – Present

Built an AI-based Content Creator Studio that automated the generation of technical educational videos from a single prompt.
Designed and implemented a scene-chaining pipeline that converted transcripts into animated video segments using Gemini and Manim.
Integrated real-time rendering with WebSockets and enabled prompt-based video editing through FFmpeg.
The system produced over 20 minutes of content per prompt and significantly reduced manual effort in educational video creation.

Skills

Programming Languages

Python

Machine Learning

Supervised LearningClassificationRegression

Statistical Modeling

Proportional Hazards Models

Software Development

Code Vulnerability DetectionPrompt Engineering (AI-driven Content Generation)

Tools & Technologies

Projects

AI-based Content Creator Studio

Automated the generation of technical educational videos from a single prompt. Designed and implemented a scene-chaining pipeline that converted transcripts into animated video segments using Gemini and Manim.

GeminiManimWebSocketsFFmpeg

Education

Dual Degree: M.Sc. Chemistry and B.E. Electrical and Electronics Engineering

University Name

January 2025

Class 12th

January 2019

Class 10th

January 2017

Aryansh Tiwari

Skills

Programming Languages

Machine Learning

Statistical Modeling

Software Development

Tools & Technologies

About

Experience

ML Intern

ML Intern

AI/ML Intern

Skills

Programming Languages

Machine Learning

Statistical Modeling

Software Development

Tools & Technologies

Projects

AI-based Content Creator Studio

Education

Dual Degree: M.Sc. Chemistry and B.E. Electrical and Electronics Engineering

Class 12th

Class 10th

Certifications

AWS Certified Cloud Practitioner