Freelance Software Engineers in Delhi
Freelance Software Engineers in Delhi
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AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
109
Followers
Top
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Versatile Fullstack Engineer | Web & Mobile Expert
1
Realm - Social Media Platform for Music Producers and Artists
1
125
1
Madklubben Online Reservation Modernization
1
20
1
Bento Station's Commission-Free Delivery Suite
1
33
1
Billing Crow
1
71
Software Engineer
(4)
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Wahid Ali
pro
Ghaziabad, India
Full Stack Developer | MVPs, SaaS & Dashboards for Startups
$10k+
Earned
4x
Hired
4.9
Rating
22
Followers
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Full Stack Developer | MVPs, SaaS & Dashboards for Startups
1
AI Search Optimization Platform
1
20
1
Mobile App Development Company Website
1
2
1
Dashboard Modernization in Legacy Codebase
1
2
1
DevOps Pipeline for Technical Writing Course
1
4
Software Engineer
(9)
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Rishi Bajpai
Noida, India
Building MVPs for startup founders with clean UX in a week.
1x
Hired
5.0
Rating
60
Followers
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Building MVPs for startup founders with clean UX in a week.
0
Regenix - Healthcare System Modernization for Regenix
0
2
1
IndiaPharmaHub - B2B Pharmaceutical Supplier Directory
1
6
3
Reqwest - Designing an Efficient API Testing Platform
3
3
1
SpongebobLabs - AI Research Lab Website Development
1
6
Software Engineer
(2)
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Ritik Goyal
Delhi, India
Python & Django developer for web apps and APIs
New to Contra
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Python & Django developer for web apps and APIs
0
Spent an afternoon this week chasing down why a client's order dashboard took around 2.5s to load. Turned out the page was firing 300+ database queries. Classic N+1 problem. Every order in the loop was making its own separate trip to the DB just to grab the customer and product. One line fixed it. select_related() tells Django to pull the related rows in a single JOIN instead of querying them one at a time. 312 queries down to 3. Page load went from 2.4s to 0.08s. The annoying part is this never shows up on small datasets in dev. It only bites you in production once the table grows. So now I always check the query count in Django Debug Toolbar before shipping any list view. What's the worst N+1 you've run into?
0
73
0
Hit a classic Django trap this week and figured it's worth sharing since so many people are running into it now. I was adding an LLM feature to a Django app. The AI call takes a few seconds, so naturally I made the view async so it doesn't block a worker while waiting. Wrote the async view, called the ORM like I always do, and boom: SynchronousOnlyOperation: You cannot call this from an async context. Turns out Django's ORM can't just be called normally inside async code. The classic sync API isn't safe in an event loop, so Django protects it and throws this error instead. The fix is simpler than most people think. Since Django 4.1 the ORM has async versions of everything, same names with an "a" prefix. So objects.get() becomes await objects.aget(), create() becomes acreate(), save() becomes asave(). For loops over querysets, async for works directly. And for old sync code or third party libraries you can't change, wrap them with sync_to_async(). Why this matters right now: everyone is bolting AI features onto Django apps, and LLM calls are exactly the slow I/O that async is made for. Which means a lot of devs who never touched async Django are suddenly hitting this error for the first time. One honest caveat: transactions still don't fully work in async mode, so if you need atomic blocks, keep that path sync and wrap it. Anyone else made the jump to async views yet, or still happily on WSGI?
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64
0
An AI-driven trading engine that analyzes 200-DMA breakouts and real-time market sentiment to generate long/short recommendations. It scans 1,500+ NSE stocks in under 2 seconds and uses generative AI to build option strategies, delivering event-driven trade signals end-to-end. I built the full Django backend, async APIs, and the signal-generation logic. Accomplishments and responsibilities: Built an AI-driven trading engine analyzing 200-DMA breakouts and market sentiment, generating long/short signals with ~70% directional accuracy — outperforming baseline strategies by 35%; Integrated generative-AI insights for automated option-strategy creation (spreads, straddles, condors), improving Sharpe ratio by 1.6× and cutting manual analysis time by 60%; Developed a Django backend with async APIs scanning 1,500+ NSE stocks in under 2 seconds, achieving 40% lower latency with event-driven alerts.
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62
0
An AI-powered news platform that delivers concise, real-time AI-industry updates to 2,500+ active users. It scrapes and aggregates 500+ sources daily, removes duplicates, and uses generative-AI summarization to cut reading time significantly while surfacing the most relevant stories. I built the backend responsible for scraping, deduplication, and the LLM summarization pipeline.
0
63
Software Engineer
(6)
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Anil Singh
Delhi, India
Full Stack Engineer building Fast Websites and Web Apps
26
Followers
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Full Stack Engineer building Fast Websites and Web Apps
1
E-Commerce Platform – Shopsphere
1
5
1
Startup Discovery & Pitch Platform
1
5
1
The 108 Peaks – Website Development
1
10
1
Modern SaaS Website UI – Xora
1
5
Software Engineer
(2)
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Vaibhav Mishra
Faridabad, India
A Professional Full Stack Developer
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A Professional Full Stack Developer
1
Rice Grain Species Classification using Machine Learning
1
2
1
Face Recognition and Verification System Development
1
1
1
OCR Python Script Development
1
4
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(3)
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Shivansh Yadav
Delhi, India
SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
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SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
1
🦜LangSynth: AI-Powered Synthetic Data Generation
1
8
1
IronDressAI: AI-Powered Wrinkle Removal Application
1
246
1
EmailNoob.com AI-Powered Cold Email Personalization
1
15
1
🎨Adistry.art: AI-Powered Ad Creative Generation
1
7
Software Engineer
(2)
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Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
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AI & ML Solutions for Real-World Impact 🌐
0
🤖 MediBot AI – AI-Powered Medical Chatbot
0
8
0
Comment Feel - YouTube Comments Sentiment Analyzer Tool
0
26
0
Dish Decode- Flask Based API for Recipe Extraction from video
0
3
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