UPES

Profile URL

https://talent.gravityer.com/vyom-verma-6145551

Vyom Verma

AI Engineer

AI Engineer with less than a year in Machine Learning and Web Development

UPES

Saharanpur, Uttar Pradesh, India

Since April 24, 2026

About

AI/ML enthusiast pursuing a B.Tech in Computer Science and Engineering with specialization in AIML. Possessing 9 months of hands-on experience in developing predictive models, optimizing web applications, and performing data analysis. Demonstrated skills in Python, AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), web technologies (Flask, HTML, CSS, JavaScript), and database management. Eager to contribute to innovative projects leveraging AI/ML capabilities.

Top Skills

PythonCommunicationProject ManagementScikit LearnFlask

Skills

C++C++PythonHTMLCSSMysqlGitGithubFlaskScikit LearnPandasOpencvTensorFlowPyTorchLeadershipCommunicationProject ManagementDecision MakingData StructuresAlgorithmsSoftware EngineeringArtificial IntelligenceMachine LearningJavaScriptRest Apis

Education

UPES

B.Tech · Computer Science and Engineering with specialization in AIML

August 1, 2022 – June 30, 2026

Experience

IBM

Undergraduate Intern

June 1, 2025 – July 1, 2025

PwC

AI launchpad Trainee

February 1, 2025 – June 1, 2025

Codivy's Consultant

Intern

November 1, 2024 – January 1, 2025

Projects

NexaWallet - Full-Stack Cryptocurrency Wallet Application Tech

April 1, 2026 – Present

Developed a secure, user-friendly crypto wallet with Flask and SQLite featuring user authentication, wallet-based transactions, real-time crypto price tracking via APIs, an AI-powered chatbot assistant, and a dynamic HTML/CSS/JS frontend with dark mode, multi-currency support, and transaction filtering.

SteganoScript - Text Steganography Tool for Secure Communication Tech

April 1, 2026 – Present

Designed a CLI-based steganography tool to securely embed and extract hidden messages within plain text using selective hiding and whitespace encoding, leveraging string operations, stacks, and arrays for efficient encoding/decoding, with a modular architecture and hash map-based lookup ensuring minimal file size change and readability.

Realtime traffic congestion system

April 1, 2026 – Present

Developed a real-time traffic congestion prediction system using Python for machine learning and core logic, achieving accurate predictions of traffic flow across junctions. Designed and implemented a graph-based road network using adjacency lists, hash maps, and priority queues to compute optimal, congestion-aware routes using Dijkstra's algorithm.

SignWave AI

April 1, 2026 – Present

Built a real-time AI system to convert sign language gestures into text, focusing on accessibility and real-world impact. Worked across data collection, model training, evaluation, and web deployment in a complete AI application lifecycle.

Certifications

Python HackerRank Certificate

HackerRank

April 1, 2026 – Present

Complete 300+ question on LeetCode

LeetCode

April 1, 2026 – Present

Participation in Space Science and technology awareness training (ISRO)

ISRO

April 1, 2026 – Present

Key Strengths

Demonstrates strong practical application of AI/ML concepts through multiple personal projects (Realtime traffic congestion system, SignWave AI) utilizing frameworks like TensorFlow, Scikit-learn, and OpenCV.
Possesses early industry exposure to AI/ML through an IBM internship, involving predictive model development and integration into risk assessment pipelines.
Solid foundational programming skills in Python and C++, complemented by experience with data structures and algorithms, as evidenced by the SteganoScript project and LeetCode certification.
Academic background in Computer Science and Engineering with a specialization in AIML directly aligns with the target AI Engineer role.
Capable of full-stack development, as shown by the NexaWallet project, indicating broader software engineering capabilities.

Skill Analysis

Data insufficient

★★★★★

No completed technical tests were provided for analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 raises serious concerns about the candidate's cultural fit, specifically regarding their work attitude, ability to handle stress, and capacity for team collaboration. Without further data, this score suggests a high risk in these areas.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrates strong practical application of AI/ML concepts through multiple personal projects (Realtime traffic congestion system, SignWave AI) utilizing frameworks like TensorFlow, Scikit-learn, and OpenCV.
Possesses early industry exposure to AI/ML through an IBM internship, involving predictive model development and integration into risk assessment pipelines.
Solid foundational programming skills in Python and C++, complemented by experience with data structures and algorithms, as evidenced by the SteganoScript project and LeetCode certification.
Academic background in Computer Science and Engineering with a specialization in AIML directly aligns with the target AI Engineer role.
Capable of full-stack development, as shown by the NexaWallet project, indicating broader software engineering capabilities.

Skill Analysis

Data insufficient

★★★★★

No completed technical tests were provided for analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit