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AI Engineer with less than a year in mobile app development and AI tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech 2025 graduate (EEE) with hands-on experience in Android (Kotlin/MVVM), Flutter (Dart), and Generative AI (LangChain, RAG pipelines, ChromaDB, Gemini Flash). Built and deployed production-ready mobile apps and AI tools. Certified in AWS, Generative AI (Udacity), and McKinsey Forward. Seeking Software Developer, Android Developer, or Analyst roles.
JSS Academy of Technical Education, Noida
B.Tech · Electrical and Electronics Engineering
November 1, 2021 – June 1, 2025
Banaras Locomotive Works (BLW)
Technical Intern
July 1, 2024 – August 1, 2024
Varanasi, Uttar Pradesh, India
Cares Renewables
Research Intern - Renewable Energy
April 1, 2023 – December 1, 2023
India
DataWhiz Pro - Persistent Multi-Document AI Chatbot
April 1, 2026 – Present
Engineered persistent RAG pipeline using ChromaDB + gemini-embedding-001; reduced manual data verification time by 40% through automated pipeline processing. Built conversational AI agent with Gemini Flash and LangChain with session-state management for context-aware multi-turn dialogue; maintained high precision in automated data validation across batch updates.
View ProjectGig Task Manager - Flutter App
August 1, 2025 – Present
Built cross-platform task manager using Clean Architecture and Riverpod with full CRUD, user authentication, intuitive UI, and local storage. Implemented reactive state management with Riverpod ensuring seamless UI updates and clean separation of business logic across feature modules.
Smart Resume - Android ATS Resume Builder
July 1, 2025 – Present
Built Android app using MVVM and XML to generate ATS-friendly tailored resumes with dynamic input UI, data binding, and LiveData real-time preview. Designed modular architecture separating data, domain, and presentation layers ensuring scalability and testability.
Grammar Scoring Engine - Voice Proficiency Analyzer
January 1, 2025 – Present
Built end-to-end ML pipeline to score grammar proficiency (0-100 scale) from spoken audio, achieving R² = 0.862 using Random Forest regression. Implemented audio feature extraction to classify speaker proficiency (Beginner, Intermediate, Advanced) and generate personalised improvement feedback; built for SHL assessment.
View ProjectA Review on Emotion and Fluency Analyzer using Image Processing and Audio Extraction
Unknown
June 1, 2026 – Present
Generative AI Fluency Certification
Udacity
June 1, 2026 – Present
McKinsey Forward Program - Leadership, Problem-Solving, and Digital Skills
McKinsey
June 1, 2026 – Present
AWS Cloud Fundamentals Certificate of Completion
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning AI chatbots, ML-driven audio analysis, and mobile application development. This breadth suggests adaptability and a willingness to explore different technical domains. The personal projects indicate self-motivation and initiative. While the target role is 'AI Engineer', the candidate also lists 'Software Developer, Android Developer, or Analyst' as desired roles, showing flexibility. The internships, though not directly AI-focused, demonstrate exposure to industrial environments. The overall profile suggests a proactive learner who can contribute to various technical challenges.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, manage project lifecycles (end-to-end ML pipeline, full CRUD apps), and focus on practical outcomes (reduced verification time, high precision). The McKinsey Forward Program suggests an interest in leadership and problem-solving. However, without direct interview data or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration skills.