const fahad = {
role: "Founder at Practers",
education: "B.Tech CCE, LNMIIT Jaipur",
location: "Jaipur, India",
work: ["AI mock interviews", "RAG systems", "AI agents", "full-stack products"],
stack: ["Next.js", "React", "Node.js", "Flask", "PostgreSQL"],
infra: ["Docker", "Linux/UNIX", "WebSockets", "WebRTC", "IPFS"],
ai: ["Google ADK", "Gemini", "RAG", "Multi-Agent Systems", "LLMs"],
coding: "Knight on LeetCode, Pupil on Codeforces",
mindset: "Build fast. Debug deeply. Ship clean."
};|
Mar 2026 to Present Built an AI mock-interview platform with an integrated coding IDE, SQL editor, system-design scratchpad, PM notepad and voice/chat flows, backed by detailed performance reports, now serving 500+ users. Shipped peer-to-peer interview practice, proctored assessments, coding practice with hidden test cases and curated question banks with progress tracking. Implemented AI tutor workflows that analyse performance, identify strengths and weaknesses, and generate personalised question sheets and goal-based action plans. Built recruiter-facing skill verification (GitHub project analysis, coding-profile analysis, role matching, interview copilot) and resume tooling (ATS analysis, PDF parsing, AI LaTeX editor), cutting screening time per candidate by 60 percent. |
Dec 2025 to Jul 2026 Designed core AI agent workflows for meeting prioritisation and conversational scheduling that coordinates with external contacts on the user's behalf, automating 80 percent of back-and-forth email. Built a RAG-backed scheduling agent that proposes meeting times, requests agendas and reschedules within user-defined constraints, cutting time-to-confirmed-meeting to under 4 hours. |
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Computer Networks and Operating Systems Labs · Jan 2026 to Apr 2026 Guided 60+ second-year students through the Computer Networks lab: MAC protocols, flow control and routing protocols simulated in OMNeT++, TCP/UDP socket programming and packet analysis with Wireshark. Guided 60+ students through the Operating Systems lab: UNIX shell scripting, process management, semaphores, scheduling algorithms, deadlock prevention, IPC and memory/disk management. |
May 2025 to Jul 2025 Built a Python automated trading system generating signals from a Mean Reversion strategy over statistical analysis of real-time YFinance market data, backtested across 5 years of history. Delivered automated trade decisions for Indian and Malaysian equities across 30+ tickers via an intraday Flask service. |
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B.Tech in Communication and Computer Engineering Expected May 2027 Jaipur, Rajasthan |
Data Structures and Algorithms, Operating Systems, Computer Networks, DBMS, Generative AI, RAG, Multi-Agent Systems and System Design. |
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Full-stack legal document analysis system with automated risk detection, legal clause analysis and RAG-based contextual responses, cutting contract review time by 70 percent. Multi-agent system built on Google ADK with specialised agents for document intake, IPC research and legal-precedent retrieval, plus Google Cloud TTS with Gemini 2.5 Flash for audio explanations. Stack: Google ADK, Gemini, RAG, Python Links: Live |
Production-grade CRM running daily clinic operations for 1300+ patients, secured with role-based access control. Appointment scheduling, patient records, prescriptions, invoicing, package tracking, consent forms, attendance and analytics, with WhatsApp automation cutting appointment no-shows by 35 percent. Stack: Next.js, Node.js, PostgreSQL, WhatsApp API Links: Live |
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Federated learning core of a peer-to-peer platform that splits training across trainers holding idle compute, aggregating updates into a single global model over multiple rounds. Decentralised peer discovery and model exchange with py-libp2p (GossipSub) and content-addressed storage on IPFS, secured with RSA-2048 end-to-end encryption. Stack: Python, PyTorch, py-libp2p, IPFS |
AI mock-interview and hiring platform with an integrated coding IDE, SQL editor, system-design scratchpad, proctored assessments, AI tutor workflows, recruiter skill verification and resume tooling. Serving 500+ users. Stack: Next.js, RAG, AI Agents, LLMs Links: Live |
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Chrome extension that supercharges LeetCode with AI-driven hints, code reviews and motivational feedback directly on the problem page. Context-aware chatbot powered by Gemini 2.5 Pro that greets you by username, extracts the top community solution as context, and persists chat history per problem with IndexedDB. Stack: React, TypeScript, Tailwind CSS, Vite, Gemini 2.5 Pro, Chrome Extension APIs Links: Repo |
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users on the platform |
patients in production |
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