Ashutosh Narayan

AI Engineer

https://www.opentalent.in/ashutosh-narayan

AI Engineer with less than a year in Python, Machine Learning & Backend Development

Key Strengths

Strong foundational knowledge in Python and SQL, essential for AI/ML development.
Demonstrated hands-on experience with LLM-powered applications, RAG pipelines, and AI automation tools.
Proficiency in modern AI frameworks and tools like LangChain, FAISS, Sentence Transformers, and Ollama.
Experience with full-stack development (Flask, Vue.js) and backend systems (REST APIs, Redis, Celery), providing a holistic view of application development.
Projects showcase practical application of AI concepts, including voice interfaces, RAG chatbots, and automated code generation.
Good understanding of prompt engineering and techniques to reduce hallucinations in LLM outputs.

Cultural & Operational Fit

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.

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Projects

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.

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RAG 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.

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Trackie

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.

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Grocery 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.

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Certifications

SQL

HackerRank

June 1, 2026 – Present

Cloud Computing

Simplilearn

June 1, 2026 – Present

Data Mining

NPTEL

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Python and SQL, essential for AI/ML development.
Demonstrated hands-on experience with LLM-powered applications, RAG pipelines, and AI automation tools.
Proficiency in modern AI frameworks and tools like LangChain, FAISS, Sentence Transformers, and Ollama.
Experience with full-stack development (Flask, Vue.js) and backend systems (REST APIs, Redis, Celery), providing a holistic view of application development.
Projects showcase practical application of AI concepts, including voice interfaces, RAG chatbots, and automated code generation.
Good understanding of prompt engineering and techniques to reduce hallucinations in LLM outputs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Ashutosh Narayan

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit