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AI Engineer with less than a year in Python, Machine Learning & Backend 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
Aspiring software and AI engineer with hands-on experience building LLM-powered applications, backend systems, and AI automation tools using Python, Flask, FastAPI, and modern AI frameworks. Experienced with RAG pipelines, REST APIs, vector databases, and full-stack application development, with strong interest in Generative AI and backend engineering.
Indian Institute of Technology Madras
BS · Data Science and Applications
August 1, 2021 – June 30, 2025
MDJ Public School, Arrah
Class XII · CBSE
N/A – Present
Voice Interface for Aider
May 1, 2026 – Present
Built a voice-driven coding assistant that converts speech into terminal-based AI code execution workflows. Implemented low-latency wake word detection using OpenWakeWord for hands-free interaction. Integrated Groq LLM API with Aider CLI to automate AI-assisted code generation and execution. Designed a safety confirmation layer with auto-accept timeout and manual override controls. Automated Git commit generation for traceable AI-assisted development workflows.
View ProjectRAG PDF QA Chatbot
January 1, 2026 – June 1, 2026
Built an end-to-end RAG chatbot for PDF-based question answering by creating a FAISS vector database from a 10K+ word document using BGE embeddings and LLaMA 3.3. Implemented semantic retrieval and real-time token streaming via the Groq API in Streamlit for an interactive chat experience. Added retrieval transparency by displaying the top 5 retrieved source passages and applying prompt grounding to improve answer reliability and reduce hallucinations.
View ProjectTrackie
December 1, 2025 – December 1, 2025
Built a full-stack web platform for tracking student workflows and academic progress. Implemented authentication and role-based access control using Flask-Login. Developed and tested REST APIs using SQLAlchemy and Postman. Designed backend workflow management features for administrative tracking operations.
View ProjectGrocery Store Application
September 1, 2023 – September 1, 2023
Developed a role-based full-stack application with Flask backend and Vue.js frontend architecture. Built REST APIs for inventory, product management, and transaction workflows. Integrated Redis and Celery for asynchronous background task scheduling and processing. Implemented automated email notification workflows for transactional events and user updates.
View ProjectSQL
HackerRank
June 1, 2026 – Present
Data Mining
NPTEL
June 1, 2026 – Present
Cloud Computing
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in both AI/ML and full-stack development, aligning well with an AI Engineer role that often requires integrating AI models into broader systems. The diversity of personal projects (voice assistants, chatbots, web applications) indicates a proactive and self-driven learning attitude. The academic background in Data Science further reinforces the fit for a technically demanding role. However, the lack of team-based projects or professional experience limits the assessment of collaboration and adaptability in a corporate culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The focus on building end-to-end applications implies a practical, results-oriented approach. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or communication in a team setting.