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AI Engineer with less than a year in Generative AI & Data Analytics
As an AI/ML Engineer specializing in Generative AI and Data Analytics, I am currently pursuing a B.Tech in Electronics Engineering with a focus on AI & ML. My technical expertise spans Python, Machine Learning, NLP, and cloud platforms like GCP. I have developed projects such as an AI-powered PDF assistant, a real-time multilingual translator, and data analysis tools, demonstrating strong skills in RAG, LangChain, and Power BI. I am passionate about leveraging AI to create innovative solutions and continuously expand my knowledge in emerging technologies.
Mahatma Jyotiba Phule Rohilkhand University (MJPRU)
B.Tech · Electronics Engineering (AI & ML Specialization)
N/A – June 30, 2027
Mahatma Jyotiba Phule Rohilkhand University (MJPRU)
Diploma · German Language
N/A – June 30, 2025
Madhav Rao Scindia Public School
Senior Secondary (Class XII) · Science Stream (PCM)
N/A – May 31, 2023
eDCiit Delhi Beacon
Campus Ambassador Intern
December 1, 2025 – February 1, 2026
India
NeuroNest AI - AI-Powered PDF Assistant
May 1, 2026 – Present
Built a RAG chatbot enabling semantic search and context-aware Q&A over PDFs using FAISS and ChromaDB vector stores with Hugging Face sentence-transformer embeddings. Extended pipeline with automated MCQ generation and abstractive summarization; deployed as an interactive Streamlit web app.
View ProjectSynckro - Wearable Real-Time Multilingual Translator (Group Project)
April 1, 2026 – Present
Designed wearable pendant prototype with a full Speech-to-Text → Language Detection → Translation → TTS pipeline; supports Broadcast (speaker) and Whisper (Bluetooth) output modes. Architected online/offline fallback (Deep Translator + Argos Translate); built JS session dashboard logging timestamps, detected language, and conversation history.
Customer Shopping Behavior Analysis
March 1, 2026 – Present
Analyzed 3,900+ retail transactions via Python → PostgreSQL → Power BI pipeline; surfaced 5 insights on customer segmentation, discount behavior, and revenue patterns.
View ProjectHouse Price Prediction
May 1, 2025 – Present
Benchmarked Linear Regression, Decision Tree, and Random Forest; applied k-fold cross-validation and hyperparameter tuning — Random Forest achieved lowest RMSE on held-out data.
Introduction to Machine Learning
Kaggle
June 1, 2026 – Present
VLSI for Beginners: Verilog, FPGA & VLSI CAD
NIELIT
June 1, 2026 – Present
What Is Business Analysis?
LinkedIn Learning (PMI & IIBA Endorsed)
June 1, 2026 – Present
Generative AI Studio (Vertex AI)
Google / Simplilearn
June 1, 2026 – Present
Cloud Load Balancing
Google Cloud
June 1, 2026 – Present
Drone Bootcamp: UAV Sensors & Comm.
IIT-ISMD
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML, data analytics, and electronics engineering, aligning well with an AI Engineer role. The academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. The diversity of projects (NLP, RAG, data analysis, embedded AI) indicates a broad interest and willingness to explore different facets of AI. The certifications further reinforce a commitment to continuous learning and skill development in relevant areas. The low psychometric test score, however, could be a concern regarding cultural fit if it reflects issues with collaboration or adaptability.
Soft Skills & Operational Fit
The candidate's experience as a Campus Ambassador Intern suggests organizational skills, communication, and event coordination abilities. The group project experience indicates teamwork and collaboration. However, the psychometric test score is low (163/500), which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though more context on the test's specific metrics would be needed for a definitive conclusion.