NEHA KISHOR
AI EngineerEntry-level AI Engineer with Generative AI & ML skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level AI Engineer with Generative AI & ML skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Electronics & Communication Engineering graduate (May 2026) and Generative AI / ML practitioner with hands-on experience building and deploying end-to-end LLM applications, including a Retrieval-Augmented Generation (RAG) pipeline using vector databases, embedding models, and LLM APIs. Comfortable working independently in remote settings, designing AI workflows from data ingestion through deployment. Combines embedded systems / edge AI background with practical Generative AI engineering skills. Available for remote, freelance, and full-time roles.
APJ Abdul Kalam Technological University
B.Tech · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Artificial Intelligence Domain
AI Engineering Intern
June 1, 2025 – July 1, 2025
India
Document Q&A RAG Chatbot
June 26, 2026 – Present
• Built and deployed an end-to-end RAG chatbot enabling users to upload any PDF and ask natural-language questions, with answers grounded in retrieved document context. • Designed the full pipeline: PDF text extraction (pdfplumber), chunking, embeddings (sentence-transformers), vector storage and similarity search (ChromaDB), and LLM-based generation via Groq's LLAMA 3.3 API. • Debugged and resolved real extraction and cross-platform deployment issues (text-spacing bugs, dependency version conflicts) while shipping a live, publicly accessible Streamlit Cloud app.
View ProjectAI-Enhanced Side Channel Attack Detection & Mitigation
June 26, 2026 – Present
• Co-developed a Python-based ML model to detect hardware-level side-channel attacks by classifying electromagnetic and power signal patterns (80.75% test accuracy, 1.1-1.4ms inference). • Built a complete AI pipeline: data collection → feature extraction → model training → evaluation → mitigation strategy. Code and documentation on GitHub.
Raspberry Pi Based Text Reader for the Blind
June 26, 2026 – Present
• Co-developed an edge AI assistive device using Raspberry Pi, Python, OpenCV, and a TTS engine for real-time OCR and text-to-speech conversion for visually impaired users.
NPTEL - Programming in Java
NPTEL
January 1, 2025 – Present
IEEE Technical Event – VORTEX (AP-S & MTT-S)
IEEE
October 1, 2024 – Present
Analysis & AI
Nyeste Ventures Technologies Pvt. Ltd.
September 1, 2023 – Present
Cybersecurity Fundamentals
ICI, Govt. College of Engineering Kannur
November 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG chatbots to edge AI for assistive technology and cybersecurity, indicates a broad interest in AI applications. The academic projects and certifications show a proactive learning attitude. However, the candidate is still pursuing a bachelor's degree with limited professional experience, which might require a specific cultural fit for mentorship and growth within a team. The target role of 'AI Engineer' aligns well with the candidate's project experience in building and deploying AI solutions.
Soft Skills & Operational Fit
The candidate demonstrates independence in managing AI/ML pipelines and debugging deployment issues, indicating strong problem-solving and self-management skills. The ability to work remotely and ship live applications suggests operational readiness. However, the short internship duration and academic focus mean real-world team collaboration and large-scale project experience are limited.