AI Consultant · Generative AI Developer · FastAPI Developer
From AI chatbot development and RAG systems to scalable Python backend infrastructure, I help startups and businesses launch production-ready AI software faster.
AI Products
From idea to launch
FastAPI
Scalable backend
RAG
Company knowledge
Automation
Less manual work
$ apst services --scan
AI apps | RAG knowledge bases | chatbots | SaaS backends | workflow automation
$ delivery --mode
Scope fast, build clean, deploy with metrics, handoff with documentation
$ enquire --next
Share your service, phone, email, and project goal. I will respond with a practical build path.
▌Services
Practical AI development services for founders who need working software, not a technical experiment. Each service is designed to remove a business bottleneck.
Custom AI Development, AI Developer, LLM Applications
Turn an AI product idea into a usable application with workflows, dashboards, backend logic, and deployment handled end to end.
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AI Chatbot Development, Generative AI Developer, AI Consultant
Build assistants that answer customer questions, qualify leads, reduce repeated conversations, and improve response time.
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RAG Systems, knowledge base AI, document search AI
Create searchable AI knowledge bases from documents, SOPs, FAQs, product docs, and internal data for your team or customers.
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AI Automation, AI agents, business process automation
Replace repetitive work in documents, reports, CRM updates, emails, and operations with reliable AI-assisted automation.
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SaaS development, web app development, MVP development
Ship practical product features with authentication, dashboards, database design, admin tools, and polished user flows.
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FastAPI Developer, Python Backend Developer, backend API development
Develop secure APIs, authentication, databases, integrations, and backend infrastructure designed for long-term scale.
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AI deployment, ML pipeline, model monitoring
Deploy AI systems with containers, evaluation, monitoring, fallback paths, and a setup your business can maintain.
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analytics dashboard, business intelligence dashboard, data science consulting
Turn raw data into dashboards, forecasts, and decision-ready reports that help your team move faster.
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Why Work With Me
You need an AI Consultant and Python backend developer who can think through the product, not just connect an API and disappear.
Built with scalable architecture, maintainable code, clean deployment paths, and real users in mind.
Every solution starts with your workflow, your users, and the business problem you need solved.
Focused on LLM applications, RAG systems, FastAPI backends, AI automation, and production-grade systems.
Support does not stop at deployment. Your product can keep improving as usage, data, and priorities change.
Client Success Stories
Business problems solved with custom AI development, RAG systems, automation, and backend engineering.
Scalable MLOps-driven market prediction system with real-time analytics, automated retraining, and cloud-native deployment.
Problem
Financial workflows need reliable forecasting, monitoring, and repeatable model updates instead of one-off notebooks.
Solution
Built a cloud-ready forecasting platform with APIs, automated retraining, drift checks, and deployment workflows.
Business Impact
Makes market signals easier to monitor and gives teams a foundation for faster data-backed decisions.
Technology Stack
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Ask how ForesightX - The Future Has Signals. We Decode Them. could translate to your product.
AI-powered ECG interpretation, remote consultations, and real-time healthcare intelligence in a unified clinical platform.
Problem
Healthcare teams need faster diagnostic support without forcing patients and clinicians into disconnected tools.
Solution
Built an AI-assisted ECG interpretation and telehealth workflow with inference, patient flows, and consultation features.
Business Impact
Improves speed of review, keeps diagnostic context in one place, and creates a path for remote care experiences.
Technology Stack
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Ask how PulseCare AI - Intelligent Cardiac Diagnostics & Telehealth Platform could translate to your product.
LLM-powered interview automation with adaptive questioning, candidate evaluation, and recruiter-ready analytics.
Problem
Recruiters spend too much time screening resumes, preparing interviews, and converting conversations into structured insights.
Solution
Built an LLM-powered interview workflow that creates adaptive questions, evaluates answers, and produces recruiter-ready analytics.
Business Impact
Reduces repetitive screening work and gives hiring teams a faster way to compare candidates.
Technology Stack
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Ask how IntelliHire AI - Autonomous Recruitment & Interview Intelligence Platform could translate to your product.
AI-driven resume tailoring, ATS optimization, and smart job matching for modern hiring workflows.
Problem
Job seekers need resume tailoring and ATS alignment, but doing it manually for every role is slow and inconsistent.
Solution
Built an AI resume and job-matching workflow that analyzes job descriptions and generates role-specific improvements.
Business Impact
Helps users move faster from job discovery to application with more relevant, targeted resumes.
Technology Stack
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Ask how CareerPilot AI - Intelligent Resume & Job Matching Platform could translate to your product.
Multimodal computer vision pipeline for automated drywall crack and seam segmentation using prompt-aware deep learning.
Problem
Industrial inspection teams need a faster way to identify defects without relying only on manual visual review.
Solution
Built a prompt-conditioned computer vision pipeline for drywall crack and seam segmentation with tracked experiments.
Business Impact
Creates a repeatable inspection workflow that can reduce manual review time and improve defect visibility.
Technology Stack
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Ask how VisionInspect - Prompt-Conditioned Industrial Defect Segmentation System could translate to your product.
Solution Examples
Most AI consulting work starts with one clear bottleneck: support, internal operations, or knowledge access. These are examples of what that can become.
A service-ready chatbot experience with tickets, source confidence, support metrics, and handoff context.
Automation flows for CRM, email, reports, and approvals with clear run history and failure visibility.
Document ingestion, semantic search, citations, answer quality checks, and usage analytics in one system.
How Projects Run
You get practical planning, visible milestones, and software designed for your users, your team, and your next release.
AIR-3930
GATE'26 DA Rank
350+
DSA Problems Solved
Top 1.7%
Kaggle Ranking
SIH'25
Finalist
Clarify the business goal, users, data sources, success metrics, and the first useful release.
Map architecture, prompts, APIs, database schema, user flows, and delivery milestones.
Ship the core app, backend, AI workflows, testing path, deployment setup, and admin controls.
Add observability, feedback loops, evaluation, performance tuning, and next feature iterations.
Auth, RBAC, data boundaries, server-side secrets, and deployment hygiene are planned from day one.
RAG quality, fallback paths, confidence signals, and usage metrics are built into the product.
You get practical scoping, fast iteration, clear tradeoffs, and deployable code instead of demos only.
Best fit projects
MVPs, internal tools, RAG assistants, AI automation, SaaS backends, dashboards, and LLM applications.
Delivery Background
A concise look at the product, AI, and backend work that supports client delivery.
GaugeHow
CronLabs Solutions Pvt. Ltd. (OneTapp Group)
CatalyzeIQ Pvt. Ltd.
Suryavanshi Ventures Pvt. Ltd.
Priyam Innovations Pvt. Ltd.
Proof
Before you invest in an AI developer, you need evidence that the work can move from idea to reliable software. These signals support the service offer without turning the page into a resume.
The work starts with the bottleneck you want removed: support, lead capture, document search, CRM updates, reports, or approvals.
AI systems, FastAPI backends, SaaS products, data workflows, and deployment experience stay visible as evidence behind the service offer.
You can see the services, examples, process, proof, and enquiry path before deciding whether to start a project conversation.
Smart India Hackathon 2025 - Problem Statement PS-25189.
Top ~1.7% among 11,450 participants in Kaggle Playground Series S5E11.
AIR-3930 in Data Science and Artificial Intelligence
Solved across platforms and earned the GFG160 badge.
Lead Magnet
Share one workflow that takes too much manual effort. I will map where AI can help, what should stay human-reviewed, and what a first useful version could include.
Before You Enquire
If your project involves an AI product, chatbot, RAG system, backend, or automation workflow, this should help you decide whether it is worth a conversation.
Let's Build Your ProjectYou can hire me as an AI Consultant, Generative AI Developer, FastAPI Developer, or Python Backend Developer for AI app development, chatbots, RAG systems, LLM applications, automation, SaaS products, dashboards, and deployment support.
Yes. I can scope, build, and deploy a complete MVP with frontend, backend, database, AI integrations, admin views, and handoff documentation so your first version is usable, not just presentable.
Yes. I can add custom AI development to an existing product, automate workflows, improve backend architecture, connect APIs, or create a RAG assistant on top of your existing data.
The enquiry form sends one email to me with your details and one confirmation email to you using server-side SMTP credentials.
Let's Build Your Project
Share the outcome you want: launch an AI product, reduce support work, automate a workflow, build a RAG assistant, or strengthen your backend. I will reply with a practical next step.
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