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AI Engineer with 1+ years in AI/ML & Python
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer and Intern with a strong foundation in Artificial Intelligence and Machine Learning. Experienced in developing Claude API agents with RAG integration, optimizing LLM performance, and building production-ready REST APIs. Proven ability to reduce latency, increase efficiency, and deliver real-time analytics through innovative solutions and robust technical skills in Python, SQL, and various AI/ML frameworks.
Mahindra University
Bachelor of Technology · Artificial Intelligence
August 1, 2021 – June 30, 2025
Zenoti
AI Engineer
July 1, 2025 – November 1, 2025
India
Zenoti
AI Intern
January 1, 2025 – July 1, 2025
India
Vation Digital
Python Intern
June 1, 2024 – August 1, 2024
India
Minton Consulting
AI Intern
May 1, 2024 – June 1, 2024
India
Question-Answer Retrieval Generator
June 1, 2026 – June 1, 2026
Implemented a complete RAG pipeline using the LangChain framework, leveraging FAISS Vector DB and Hugging Face Instructor Embeddings to power a Google PaLM (LLM) for an Ed-Tech Q&A solution.
Policy-Aware LLM for Automated Customer Support
June 1, 2026 – June 1, 2026
Fine-tuned an open-source LLM (TinyLLAMA / Mistral) using LoRA (PEFT) with PyTorch and Hugging Face Transformers to generate policy-compliant customer support responses; applied 8-bit quantization for GPU-efficient training and deployed the model via FastAPI for real-time inference.
Podcast Summarizer
June 1, 2026 – June 1, 2026
Developed and validated a complete NLP pipeline for podcast summarization, implementing Pydub for audio segmentation and the Google Web Speech API for ASR, followed by abstractive summarization using a DistilBART-CNN architecture and performance evaluation via ROUGE metrics.
NLP Natural Language Processing with Python
Udemy
June 1, 2026 – Present
Advanced SQL
Kaggle
June 1, 2026 – Present
Pytorch for Deep Learning
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI, coupled with multiple AI-focused internships and a full-time AI Engineer role, strongly aligns with an AI-driven culture. The projects showcase a breadth of application areas (customer support, Q&A, summarization, HRMS, discount optimization), indicating versatility and a willingness to tackle diverse challenges. The use of open-source tools and frameworks also suggests a collaborative and community-oriented mindset.
Soft Skills & Operational Fit
The candidate's project and experience descriptions indicate a results-oriented approach, with clear metrics for impact (e.g., 'scaling insight generation by 3x', 'reducing latency by 60%', 'increasing efficiency by 50%'). This suggests a strong operational fit and an ability to translate technical work into business value. The diversity of projects and roles also implies adaptability and a proactive learning attitude.