AI Engineer with less than a year in Machine Learning and Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.
UPES
B.Tech · Computer Science and Engineering with specialization in AIML
August 1, 2022 – June 30, 2026
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
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.
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.
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.
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.
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
No completed technical tests were provided for analysis.
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
The psychometric test score of 0 indicates significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. This suggests a potential lack of operational fit and critical soft skills required for a professional environment.