Fullstack Engineer with 1+ years in AI/ML & Web Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML and Full Stack Web Developer with 1.0 years of experience, specializing in Python, Java, JavaScript, and web technologies. Proven ability in developing AI-powered web applications, including translation, image generation, and personal AI assistants. Skilled in data annotation, content review, and leveraging cloud platforms like AWS and Google Cloud for scalable solutions.
G.L Bajaj Institute of Technology and Management
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Saraswati Vidya Mandir, Chhata
12th
N/A – May 31, 2021
Saraswati Vidya Mandir, Chhata
10th
N/A – May 31, 2019
Innodata Inc.
Data Annotator/Content reviewer
December 1, 2025 – Present
India
Google For Developers
AI-ML Intern AICTE- EduSkills
April 1, 2024 – June 1, 2024
India
Bharat Intern
Full Stack Web Developer
May 1, 2023 – June 1, 2023
India
HealthSpeak-Translation WebApp
July 1, 2025 – August 1, 2025
Frontend: HTML + TailwindCSS (UI) JavaScript (Speech Recognition + DOM interactions); Backend: Node.js + Express.js (API server) and Google Gemini AI (@google/genai) for translation (Link)
View ProjectExcel Mock Interviewer
May 1, 2025 – June 1, 2025
Frontend: HTML/CSS/JavaScript; Backend: Flask (Python); Database: JSON file storage and Groq API (Free tier) (Link)
Image Generator WebApp
July 1, 2024 – August 1, 2024
HTML,CSS, JavaScript and Hugging Face API. (Link)
Personal AI Desktop Assistant
September 1, 2023 – December 1, 2023
Python and Defining Functions (Speak,Wishme,Searching from Wikipedia,Open Browsers, Play Music..)
Oracle Certified in GenAI Professional
Oracle
June 1, 2026 – Present
Saviynt Certified in Identity Security for AI Age
Saviynt
June 1, 2026 – Present
Full Stack Web Development (Bharat Intern)
Bharat Intern
June 1, 2026 – Present
Prompt Design in Vertex AI (Generative AI) Google Cloud
Google Cloud
June 1, 2026 – Present
Stanford (DeepLearning.AI) Certified Supervised Machine Learning
Stanford (DeepLearning.AI)
June 1, 2026 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of the subject matter and related skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from AI-powered translation to mock interviewers, demonstrate a strong interest in leveraging technology for practical solutions. Their involvement in AI/ML internships and certifications from Google Cloud and Stanford (DeepLearning.AI) indicates a commitment to continuous learning and staying current with industry trends. This aligns well with a culture that values innovation, self-improvement, and practical application of knowledge. The target role of Fullstack Engineer is well-supported by their project work, even though their professional experience is more focused on data annotation and AI/ML internships.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying new technologies, particularly in the AI/ML domain. The academic projects show initiative in building functional applications. The experience as a Data Annotator/Content reviewer suggests attention to detail and quality assurance, which are valuable operational traits. However, the provided data does not offer direct insights into communication, teamwork, or stress handling beyond the psychometric test score, which is above average.