Sarvesh K
AI Developer building GenAI apps, AI agents, RAG systems, an
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Sarvesh is ready for their next project!
I designed and built the Executive AI Business Analyst, a React and FastAPI application that converts a business question and selected analysis framework into a structured first-draft report. The system gathers public web context, passes the selected evidence into a controlled OpenRouter-compatible LLM workflow, and generates sections such as an executive summary, competitor comparison, SWOT analysis, risks, opportunities, recommendations, source URLs, and verification limitations. I handled the frontend, backend API, Pydantic validation, research flow, prompting, interface design, Vercel and Render deployment, and report export experience. The output remains a research draft requiring human source review.
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I designed and built an AI Job Application Agent using Python, Streamlit, OpenRouter-compatible APIs, pypdf, python-docx, and optional web-search context. The workflow parses PDF, DOCX, or TXT resumes, compares resume evidence with a job description, and creates a structured application strategy containing a rubric-guided fit estimate, skill gaps, requirement mapping, resume suggestions, a cover-letter draft, interview questions, and a seven-day action plan. I handled the document-processing flow, prompting, interface design, company-research option, report presentation, and Markdown download experience. The result is a preparation aid, not an official ATS or hiring score.
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I designed and built an AI Web Research Agent using Python, Streamlit, OpenRouter-compatible APIs, DuckDuckGo search, Requests, and Trafilatura. The workflow creates targeted search queries, gathers and ranks results, reads available webpages, preserves source URLs, distinguishes fully fetched pages from search-result-only sources, and generates a structured Markdown report. I also created the interface, live activity feed, quick demo prompts, source-quality labels, verification-limit section, and downloadable report experience. The output is designed as a research draft that remains subject to human review.
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I designed and built OpsPilot v2, an AI-assisted DevSecOps console prototype using Next.js, React, TypeScript, and a server-side OpenAI or OpenRouter-compatible API route. The application provides live AI-generated DevSecOps guidance alongside clearly labelled simulated telemetry, security-audit, and diagnostics workspaces. I handled the product structure, interface design, API validation, provider routing, conversation state, Vercel deployment, and GitHub Actions build automation. This is a transparent portfolio demonstration and is not connected to production infrastructure
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