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Viswesh
@viswesh97
AI Product Consultant
Indien
Malayalam, Tamil
Über mich
I’m an AI Product Consultant and Software Developer who builds AI-powered MVPs, websites, mobile apps, and scalable digital products. I specialize in Python, FastAPI, REST APIs, machine learning, NLP, Generative AI, LLMs, RAG, AI agents, and workflow automation.
Using modern tools such as Cursor and Claude, I help startups and businesses turn ideas into functional products quickly—from AI assistants and SaaS platforms to business automation systems, websites, and applications.
I focus on building practical, reliable, and user-friendly solutions that solve real business problems.
Kompetenzen
Viswesh
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
KI-Technologie-Beratung
I will design and build your ai product, llm app, or ai agent
Portfolio
Arbeitserfahrung
Software Engineer
Self Employed • Selbstständig
Mar 2020 - Present • 6 yrs 6 mos
Delivered end-to-end enterprise software, ERP, data and GenAI solutions, covering requirement analysis, architecture, development, integration and deployment. Built scalable backend systems using Python, FastAPI, PostgreSQL and REST APIs, with emphasis on clean architecture and business logic. Led development and customization of Odoo ERP platforms, including multi-module implementations and major-version migrations. Designed LLM-powered enterprise applications capable of converting natural-language business questions into SQL and retrieving actionable insights from ERP data. Architected agentic AI systems using tool-based workflows for SQL, ERP, domain-specific retrieval and automated decision-making. Built data and analytics pipelines using Airflow, Kafka, Debezium, ClickHouse and PostgreSQL, supporting reporting and near-real-time data processing. Developed Power BI semantic models and enterprise analytics solutions to transform operational data into business insights. Evaluated and integrated multiple LLM providers and open-source models, including Mistral, Llama, OpenAI and Hugging Face models, based on accuracy, latency and deployment requirements. Designed database schemas and optimized high-volume PostgreSQL workloads, including query optimization, indexing and data modeling. Translated business problems into technical solutions and prototypes, contributing across software engineering, AI/ML, data engineering and product development.
