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Available for Freelance · Remote · Contract

I Build
Backends That Scale
& AI That Ships

Backend & AI Developer helping startups, founders, agencies, and businesses turn ideas into scalable APIs, AI products, RAG systems, automation workflows, and production-ready applications.

🚀 Open for Freelance, Remote & Contract ProjectsBackend development · AI agents · RAG · automation · MVPs & SaaS
PythonDjango / DRFLangChainPostgreSQLAWSOpenAI GPT-4XGBoostDocker
Start a Project View My Work
Neha Jaiswal
Daily API Requests
50K+
API Uptime
99.5%
4+
Years in Production
50K+
Daily API Requests
6+
AI/ML Projects Shipped
99.5%
API Uptime
92%
ML ROC-AUC Score
5+
Microservices Built
3
Companies Served
3+
Juniors Mentored
Value Proposition

Why Hire Me?

I Ship Production Code, Not Demos

Every project handles real users and real traffic. 50K+ daily requests, 99.5% uptime, live on Google Play — not tutorial clones or GitHub-only code.

AI That Works in Production

I don't just call OpenAI APIs. I build complete GenAI backends — RAG pipelines with FAISS/ChromaDB, embedding optimization, hallucination reduction, and cost-optimized inference.

Backend + ML = Full Pipeline

Most backend devs can't do ML. Most ML engineers can't build APIs. I do both — from data preprocessing & model training (92% ROC-AUC) to production REST endpoints.

I Grow Teams, Not Just Code

Currently mentoring 3 junior devs. I write code others can maintain, define API contracts teams can work with, and establish review practices that improve quality.

Work With Me

Build, Automate & Scale

I work with startups, founders, agencies, and businesses that need a hands-on developer who can take a product from architecture to production.

Python & FastAPI

REST APIs, scalable backend architecture, database optimization, authentication, third-party integrations, and production services.

AI & Agentic AI

AI agents, LangGraph workflows, LLM integrations, RAG applications, knowledge assistants, and AI-powered business workflows.

RAG & AI Search

Document Q&A, semantic search, vector databases, retrieval pipelines, re-ranking, guardrails, and evaluation.

Flutter + Backend

Flutter applications backed by FastAPI, secure APIs, authentication, user management, and end-to-end integrations.

Automation & Integrations

Business workflow automation, CRM integrations, API orchestration, and repetitive-process automation with AI.

Docker & AWS

Dockerized applications, AWS deployment, Nginx, production setup, and reliable backend delivery.

About Me

I Don't Just Write Code —
I Architect Solutions

Over 4+ years, I've evolved from writing Django CRUD APIs to designing complete backend ecosystems — microservices handling 50K+ daily requests, GenAI pipelines that reduce LLM hallucinations, and ML models serving real-time predictions.

What I Actually Do Daily

→ Design API architectures

→ Build RAG pipelines

→ Optimize DB queries 20%+

→ Deploy AWS + Docker

→ Train & serve ML models

→ Mentor junior devs

→ Define API contracts

→ Code review & QA

Languages & Frameworks
PythonDjangoDRFREST APIs
AI / ML
LangChainOpenAI GPT-4WhisperFAISSChromaDBXGBoostScikit-learn
Databases & Caching
PostgreSQLMySQLRedisCelery
DevOps & Cloud
AWS (EC2, S3, RDS)DockerNginxCI/CDGit
Career

My Journey

2026 — Present
Independent Backend & AI Developer
Freelance · Remote · Contract Projects
Agentic AIFreelance
Aug 2022 — Sep 2025
Backend Developer
Tech Prastish Software Solutions
RAG / LangChainML Pipelines
Jan 2021 — Jul 2022
Python / Django Developer
Baseline IT Development
Django APIsPayments
2016 — 2020
B.Tech Computer Science
SBSS University
Education & Certifications

B.Tech Computer Science — SBSS University (2016-2020)

Certified: Data Science with Python · Django Developer · PostgreSQL & Window Functions

Portfolio

What I've Built

Every project below runs in production with real users. No tutorials, no demos — just code that ships.

Agentic AI / RAG

Enterprise Agentic RAG System

Production-Grade RAG with Agentic Reasoning, Guardrails & Evaluation

Problem
Enterprise knowledge systems need accurate retrieval, reliable reasoning, safety controls, and measurable answer quality—not just a basic vector search chatbot.
Solution
Designed a production-grade RAG pipeline using LangGraph, Portkey LLM Gateway, Gemini embeddings, semantic re-ranking, Qdrant Cloud, LangSmith observability, and RAGAS evaluation.
Key Contribution
Implemented cyclic agentic reasoning, guardrails for safety, semantic re-ranking, and a full evaluation suite with a Streamlit demo.
Agentic RAG:
Query → Retrieve → Re-rank → Reason
  ↻ Guardrail → Evaluate → Grounded Answer
LangGraphPortkeyGeminiQdrant CloudLangSmithRAGASStreamlit
enterprise-agentic-rag
Agentic Knowledge Hub● Evaluated
Vector DB
Qdrant Cloud
Tracing
LangSmith
Agent loop → retrieve → semantic re-rank → reason → safety check → grounded response
study-abroad-application-system
Counselor DashboardApplications
24
Students
18
SOPs
12
Submitted
SOP · LOR · Transcript · Resume → AI-assisted drafting → Counselor review → Application tracking
AI / Full-Stack

Study Abroad Application System

AI-Assisted SOP Writing & University Application Management

Problem
Students and counselors needed one place to manage application documents, SOP workflows, and progress across universities.
Solution
Built AI-assisted SOP generation and review using OpenAI APIs, document management for SOPs, LORs, transcripts and resumes, plus a counselor dashboard.
Key Contribution
Built the SOP drafting module, workflow tracking, counselor dashboard, and responsive Next.js frontend experience.
OpenAINext.jsSOP AIDocument ManagementWorkflow Tracking
AI / Speech

VISA Interview Preparation System

AI Mock Interviews with Speech Recognition & Automated Evaluation

Problem
Visa applicants needed realistic interview practice with dynamic questions and actionable feedback on spoken answers.
Solution
Built a conversational AI module using OpenAI APIs to generate profile-aware interview questions, integrated speech-to-text for spoken answers, and added AI-based evaluation.
Key Contribution
Built the mock interview engine, speech recognition integration, automated scoring, confidence and answer-quality feedback, and performance tracking.
Interview Flow:
Applicant Profile → AI Question → Spoken Answer
→ Speech-to-Text → AI Evaluation → Score + Feedback
OpenAISpeech-to-TextConversational AIScoringPerformance Tracking
visa-interview-prep
AI Interview SessionF1 · Practice
AI Interviewer
Why did you choose this university and program?
86
Clarity
82
Quality
79
Confidence
AI / Full-Stack

Learnify

Adaptive English Learning with 8 AI-Powered Test Modules

Problem
Students preparing for IELTS/TOEFL had no way to get instant, AI-driven feedback on speaking and writing.
Solution
Built Django backend integrating GPT-4 (essay grading), Whisper (speech-to-text), Edge TTS (listening tests), and DALL-E (image-based tests).
Impact
8 intelligent test modules, real-time speech scoring, automated essay grading, zero-downtime CI/CD.
Architecture:
Student → Next.js → Django REST API
  ├→ GPT-4 (grading)  ├→ Whisper (STT)
  ├→ Edge TTS (audio) └→ DALL-E (images)
Django 4.2GPT-4WhisperDALL-EMySQL
Live Demo
learnify.degreewisdom.com
DashboardTestsProgress

AI-Powered English
Learning Platform

Practice IELTS, TOEFL, PTE & Duolingo with instant AI feedback

Start Free Test →
IELTS
TOEFL
PTE
Duolingo
study.rtcknowledge.com/chatbot
Documents
Report_Q3.pdf
Thesis.docx
Paper_ML.pdf
What are the key findings in the Q3 report?
Based on the document, the key findings include: 1) Revenue increased 23% YoY, 2) Customer retention improved to 94%, and 3) The AI pipeline reduced processing time by 40%. 📎 Source: Page 3, Section 2.1
Summarize the ML methodology used
Ask about your documents...
GenAI / RAG

GenAI Document Chatbot

Chat With Your Documents Using RAG + Vector Search

Problem
Users needed answers from large PDF/DOCX files — manual search was slow and LLMs without context hallucinated.
Solution
RAG pipeline: chunk documents, embed via OpenAI, store in FAISS/ChromaDB, retrieve top-K context, feed to GPT-4 for grounded answers.
Impact
Sub-second retrieval. Multi-format support. Significantly reduced hallucinations via strict context grounding.
RAG Pipeline:
Upload → Chunk → Embed → FAISS Store
Query → Embed → Top-K → GPT-4 → Answer
LangChainFAISSChromaDBOpenAIDjango
AI / Speech

AI VISA Interview Prep

Mock Interview Simulator with Real-Time Speech Analysis

Problem
Visa applicants had no way to practice realistic interviews with instant feedback.
Solution
Real-time engine: Whisper converts speech to text, GPT-4 analyzes confidence/clarity/relevance, generates adaptive follow-ups.
Impact
Supports F1, B1/B2, H1B, Schengen. Multi-dimension scoring. Adaptive difficulty. Session reports.
Flow: Speak → Whisper STT → GPT-4 Analysis → Score → Next Q (adaptive)
DjangoGPT-4WhisperPostgreSQL
Live Demo
study.rtcknowledge.com/visa-prep
🎤 VISA Interview Prep
F1 Student Visa
Why did you choose this university?

Speak your answer clearly. AI will analyze your response in real-time.

8.5
Confidence
7.8
Clarity
9.1
Relevance
Next Question →
study.rtcknowledge.com/sop-writer
Statement of Purpose — MS Computer Science, Stanford
AI Analysis
Structure92%
Coherence87%
Grammar95%
Persuasion84%
Tip: Add more specific research interests to strengthen paragraph 3.
GenAI / NLP

AI SOP Writer & Analyzer

Generate & Analyze University SOPs with AI

Problem
Students struggled writing compelling SOPs — generic templates lacked personalization.
Solution
Prompt engineering pipeline: student profile + university + program generates tailored SOPs, then analyzes across 4 dimensions.
Impact
University-specific generation for MS/MBA/PhD. 4-dimension scoring. Version history with diff tracking.
DjangoGPT-4Prompt EngineeringPostgreSQL
Live Demo
Machine Learning

Customer Churn Prediction

End-to-End ML Pipeline with Production REST API

Problem
Telecom losing customers without knowing who was at risk — reactive retention was too late.
Solution
Complete ML pipeline: feature engineering, 3 models (LR/RF/XGBoost), GridSearchCV tuning, Django REST inference API.
Impact
92% ROC-AUC. Real-time predictions with confidence scores. Top-5 churn driver explanations.
Pipeline: Data → Features → XGBoost → Django API = 92% ROC-AUC
XGBoostScikit-learnPandasDjango REST
api.churn-predict.io/dashboard
Churn Prediction Dashboard
● Live
92%
ROC-AUC
1,247
Predictions Today
23
High Risk
Churn Probability Distribution
■ Low■ Medium■ High■ Critical
api.fraud-detect.io/monitor
Real-Time Fraud Monitor — 95%+ Recall · Processing 2,340 tx/min
Recent Transactions
Card ****4521 · Amazon.com
$42.99
Approved
Card ****8832 · Unusual location
$1,299.00
Flagged
Card ****1190 · Starbucks
$6.50
Approved
Card ****6677 · Velocity anomaly
$3,450.00
Blocked
Card ****2201 · Walmart
$89.32
Approved
Anomaly Detection

Fraud Detection Service

Real-Time Credit Card Fraud Screening

Problem
Only 0.2% of transactions fraudulent — missing them costs millions. Standard models overwhelmed by legitimate data.
Solution
SMOTE oversampling + ensemble of XGBoost (precision) and Isolation Forest (anomaly), cost-function threshold optimization.
Impact
95%+ recall — catches 19/20 fraud cases. Low-latency API for real-time approve/flag/block.
Pipeline: Transactions → SMOTE → XGBoost + IsolationForest → 95%+ Recall
XGBoostIsolation ForestSMOTEPython

6 AI/ML Projects in Production.

I build backends that scale. I integrate AI that works. Let's talk about what I can build for you.

Get In Touch
Mobile Backend

EasyClean

On-Demand Laundry Service App — Live on Google Play

Built
Django REST backend with partner management, driver GPS tracking, slot scheduling, and payment gateway integration.
Impact
Live on Google Play. Real-time order tracking. Multi-partner network operational.
DjangoREST APIPostgreSQLFlutter
Google Play
EasyClean 1
EasyClean 2
EasyClean 3
EasyClean 4
Bazar 1
Bazar 2
Bazar 3
Bazar 4
Mobile Backend

Aap Ka Bazar

Online Grocery Platform — 10K+ Products

Built
Django backend with real-time inventory management, order lifecycle engine, secure payments, delivery optimization.
Impact
10,000+ products live. Daily deliveries operational. Live on Google Play.
DjangoREST APIPostgreSQLFlutter
Google Play
Web Platform

Musika Lessons

Music Education LMS — 3000+ Cities Worldwide

Built
Large-scale platform connecting students with verified music teachers. Teacher onboarding, lesson scheduling, booking with payments.
DjangoPostgreSQLAWS
Visit Site
E-Commerce

MyCar — Greece

Car Accessories E-Commerce

Built
Complete backend redesign. Performance optimization, enhanced security, mobile-responsive.
BackendREST APIDatabase
Visit Site
E-Commerce

Home Royale — Australia

Premium Kitchenware E-Commerce

Built
E-commerce for premium kitchenware brand. Secure checkout, product management, performance optimization.
BackendE-CommerceDatabase
Visit Site
Services

What I Can Build For You

Backend Architecture

Scalable RESTful APIs, microservices, and server-side systems for high-traffic production.

  • Django / DRF APIs
  • PostgreSQL / Redis
  • Celery / Task Queues

AI & GenAI Integration

RAG pipelines, LLM orchestration, AI chatbots, speech-to-text, intelligent document processing.

  • LangChain / RAG
  • OpenAI GPT-4 / Whisper
  • FAISS / ChromaDB

ML Model Serving

End-to-end ML pipelines from data preprocessing to real-time inference APIs.

  • XGBoost / Scikit-learn
  • Feature Pipelines
  • Inference APIs

Cloud & DevOps

Production deployments with Docker, AWS, Nginx, CI/CD for zero-downtime releases.

  • AWS (EC2, S3, RDS)
  • Docker / Nginx
  • CI/CD Pipelines
Contact

Let's Build Something Together

Whether you need a scalable backend, AI agent, RAG system, automation workflow, mobile app backend, or MVP — I can help take it from idea to production.

Location

Noida, India

Quick Facts

Available for full-time opportunities

Open to remote & hybrid roles

4+ years production experience

Backend + AI/ML dual expertise

Immediate availability

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