Nishan Ameen

Ai & Ml Intern @Evoastra Ventures Pvt Ltd

Kozhikode, KL, IN
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2025 — Present

Ai & Ml Intern @Evoastra Ventures Pvt Ltd

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Contributed to building data-driven AI systems for real-world business intelligence applications.• Developed and optimized ML models for structured and unstructured datasets• Assisted in end-to-end workflows including data preprocessing, training, evaluation, and deployment• Applied deep learning techniques to enhance model accuracy and performance• Generated insights to support intelligent decision systems• Worked in milestone-driven agile environment with emphasis on scalability and reliability

EDUCATION

N/A

University of Calicut

BCA, Computer Science

N/A

Lovely Professional University

Master of Computer Applications - MCA, Artificial Intelligence and Machine Learning

ABOUT NISHAN AMEEN

I turn data and complex business requirements into intelligent, production-ready AI systems.Currently, I’m an AI Engineer at Edmento Technologies, where I architect GenAI ecosystems (using FastAPI and RAG) to automate administrative workflows and reduce educator workload by 80%. I specialize in building serverless, asynchronous AI pipelines that deliver real-world value.My journey to this point has been driven by a passion for hands-on building: Generative AI & Automation (Adivinar Catalyst): Built intelligent automation agents and scalable workflows (n8n, Make.com) integrating LLMs, Hugging Face, and advanced STT/TTS pipelines via ElevenLabs. Deep Learning & NLP (LPU & Evo Astra): Graduated with an MCA (Hons. AI & ML) and developed end-to-end ML models. I’ve fine-tuned transformer models for Tamil and Malayalam sentiment analysis and built Wav2Vec2 voice-to-text systems. Business & Systems Logic (Sysin Technologies): Started as a Business Analyst in the cybersecurity space, mastering the ability to translate client needs into data-driven ML and automation solutions.Core Stack: Python, FastAPI, LangChain, RAG, PyTorch, TensorFlow, Google Cloud (GCP), AWS, and Docker.I’m passionate about pushing the boundaries of what AI can achieve in enterprise applications. If you are looking for a builder who understands both the business \'why\' and the technical \'how\', let’s connect.

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