Who is Zaman Ishtiyaq?

Zaman Ishtiyaq is a Full-Stack and AI Engineer with 7+ years of experience, currently working as an AI Native Engineer at Atlan. He previously worked at Goldman Sachs (5 years) and BrightEdge (2+ years). He is an IIT Bhubaneswar Computer Science graduate and an independent app developer with two iOS apps live on the App Store: Muhasaba and Spree.

What has Zaman Ishtiyaq built?

Zaman Ishtiyaq has built Offer X-Ray (AI offer letter analysis tool), Spree (iOS wishlist app with AI virtual try-on, live on App Store), Muhasaba (iOS Islamic reflection app, live on App Store), Architex (architecture practice management platform), and ReelRocket (AI UGC content creation platform for TikTok automation).

What does Zaman Ishtiyaq specialize in?

Zaman Ishtiyaq specializes in AI/LLM integration, distributed data pipelines (Kafka, Temporal, GCP), full-stack web development (Next.js, TypeScript, React), and iOS app development (Swift, SwiftUI). He focuses on building production-grade AI-native products that solve real-world problems.

Is Zaman Ishtiyaq available for freelance web development projects?

Yes. Zaman Ishtiyaq is available for freelance web development, full-stack application development, and AI integration projects. He works with startups and businesses worldwide on a remote basis. He has shipped production projects including Offer X-Ray, Spree, Muhasaba, Architex, ReelRocket, and Ali Saffudin. Contact: zaman.ishtiyaq@gmail.com or visit https://zamanishtiyaq.work/hire

What kind of websites and apps can Zaman Ishtiyaq build?

Zaman Ishtiyaq builds custom websites, SaaS web applications, AI-powered tools, and iOS apps. His stack is Next.js, TypeScript, React, Python, and Swift. He handles the full build: design, frontend, backend, database, deployment, and AI feature integration. Past work includes an architecture practice management platform (Architex), an AI offer-letter analyzer (Offer X-Ray), and a bespoke artist website (Ali Saffudin).

Can I hire a Next.js developer from India for my project?

Yes. Zaman Ishtiyaq is a Next.js developer based in Srinagar, India, available for freelance and contract projects worldwide. He has built production Next.js applications including Offer X-Ray, Architex, ReelRocket, and this portfolio. He works remotely with clients across time zones. To hire him, email zaman.ishtiyaq@gmail.com or visit https://zamanishtiyaq.work/hire.

Is Zaman Ishtiyaq available to build iOS apps for the App Store?

Yes. Zaman Ishtiyaq builds native iOS apps using Swift and SwiftUI. He has two live apps on the App Store: Muhasaba (Islamic daily reflection app) and Spree (AI wishlist and virtual try-on app). He handles the full iOS build from design to App Store submission.

How do I integrate AI into my existing web application?

Zaman Ishtiyaq specializes in AI/LLM integration — adding OpenAI API, Whisper, or custom LLM pipelines to existing web apps or building AI-native products from scratch. Examples: Offer X-Ray (AI offer letter analysis with GPT-4), Spree (AI virtual try-on), and ReelRocket (AI UGC content generation). He can add AI chat, document analysis, content generation, or voice transcription features to your product.

Is there a good web developer in Kashmir or Srinagar?

Zaman Ishtiyaq is a Srinagar-based (Kashmir, India) full-stack and AI developer with 7+ years of professional experience at Goldman Sachs, BrightEdge, and Atlan. He is available for freelance web development projects for clients locally in Kashmir and internationally worldwide. He builds custom websites, web apps, and AI-powered tools. Contact: zaman.ishtiyaq@gmail.com.

What are agentic AI systems and can Zaman Ishtiyaq build them?

Agentic AI systems are AI applications where LLM-powered agents take autonomous actions — calling tools, making decisions, and coordinating with other agents to complete complex tasks. Zaman Ishtiyaq has designed and built multi-agent AI architectures using the OpenAI Agents SDK, Temporal for durable workflows, and LLM orchestration pipelines. He built a multi-agent restaurant management system and uses agentic patterns at Atlan for enterprise data pipelines.

Can Zaman Ishtiyaq build UGC content tools or TikTok automation platforms?

Yes. Zaman built ReelRocket — an AI UGC content creation platform that generates hook scripts, demo video briefs, TikTok trend research, and product review content. It uses OpenAI for content generation and is live at ugccreatorsfrontend.vercel.app. He can build similar UGC creation, social media automation, or content generation tools.

What is Offer X-Ray and how does it work?

Offer X-Ray (offerxray.com) is an AI-powered offer letter analysis tool built by Zaman Ishtiyaq. Users upload a job offer letter and receive an instant risk assessment, compensation breakdown, and negotiation guidance in under 5 minutes. It uses GPT-4 to parse offer letters and generate structured insights. It is live at offerxray.com.

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AIFeatured

AI-Powered Offer Letter Analysis: Building Offer X-Ray

By Zaman Ishtiyaq•Jan 10, 2025•6 min read

AIOpenAINext.jsPrivacyCareer

AI-Powered Offer Letter Analysis: Building Offer X-Ray

Quick answer: Offer X-Ray is an AI tool that analyzes job offer letters in under 5 minutes. Upload a PDF, and it extracts compensation components, identifies risk factors (like unusually long notice periods or missing leave policies), and generates negotiation talking points. Built with Next.js and GPT-4. All documents are processed securely and never stored permanently.

Offer X-Ray is an AI-powered platform that transforms how job seekers evaluate offer letters. The idea came from a personal mistake I made that I never want anyone else to repeat.

I received a job offer and, in my excitement, I didn't thoroughly review the details. It wasn't until later that I realized my notice period was 2 months—much longer than I expected. Even worse, there was no mention of leaves in the offer letter, and it had completely slipped my mind to check these critical details. By the time I noticed, I had already accepted the offer.

That experience made me realize how easy it is to miss important details in offer letters when you're excited about a new opportunity. I decided to build Offer X-Ray so that no one else would make the same mistake I did.

The Challenge

Offer letters are complex documents with:

Multiple compensation components (base, bonus, equity)

Complex benefits packages

Legal terms and conditions

Risk factors that aren't immediately obvious

Most people don't have the expertise to fully evaluate these documents, leading to poor decisions.

The Solution

Offer X-Ray uses AI to:

1. Parse and extract key information from offer letters

2. Analyze compensation packages comprehensively

3. Assess risks and identify potential issues

4. Provide negotiation guidance with strategies and talking points

5. Generate detailed reports for comparison

Privacy-First Approach

All document processing happens securely, and documents are never stored permanently. This was crucial for building trust with users handling sensitive information.

Technical Stack

Next.js for the frontend

OpenAI GPT-4 for document understanding

Secure client-side processing

Real-time analysis with instant results

Impact

The platform helps job seekers make informed decisions in under 5 minutes, something that would typically take hours of research and analysis.