RS
CV
Open to SDE / data-focused roles

Rachit Singh —analytics-leddev building acrossweb, ML & APIs.

Full-stack and ML. Shipping clinic systems, training terrain classifiers, building AI apps — often all at once.

Book a call →Download CV
1000+Concurrent users
3ML case studies
78%ROI improvement
Rachit Singh, developer
Available for new projects
Open

01 — About me

Developer.
Researcher. Builder.

I shipped clinic booking flows and REST APIs at Novoguard, co-authored a peer-reviewed ML paper on satellite terrain classification, and built Prospera solo — a Gemini-powered career guidance platform used by thousands on launch.

I work across full-stack, ML, and data — not by spreading thin, but because the problems I keep getting pulled toward don't fit a single discipline. Looking for SDE and data-focused roles where that range is useful.

GitHub →LinkedIn →

02 — Featured work

Selected projects.

Three projects. Each one is live, each one has a number behind it.

Marketing Analytics & Campaign Optimization
PythonSQLAnalytics APITableau
78% ROI liftJan 2024

Marketing Analytics & Campaign Optimization

Problem

Marketing teams were flying blind — no unified view across channels, manual reporting, and ad budgets allocated on gut feel rather than data.

Built

Built a Python pipeline that ingested data from 10+ touchpoints (Google Ads, Meta, email, CRM) into a single analytics layer. Trained a marketing-mix ML model to attribute revenue to each channel and a lead-scoring model to rank inbound prospects.

Result

ROI improved by 78%. CTR/CPA/ROAS/LTV reporting went from weekly manual spreadsheets to automated daily dashboards. Sales team prioritised leads 3× faster using the scoring model.

Live demo →GitHub →
Prospera AI — Career Guidance Platform
Next.jsGemini APITailwind CSS
1,000+ concurrent usersSep 2023

Prospera AI — Career Guidance Platform

Problem

Students had no personalised career guidance tool — generic job boards and one-size-fits-all advice left them uncertain about paths, skills gaps, and opportunities.

Built

Designed and shipped a full-stack career counselling platform powered by the Gemini API. Built a real-time chatbot, personalised recommendation engine, and a responsive Next.js/Tailwind UI from scratch — solo, in under 6 weeks.

Result

Platform scaled to 1,000+ concurrent users on launch. Gemini-driven recommendations reduced average career decision time reported by test users by ~40%. Open-sourced on GitHub with active forks.

Live demo →GitHub →
Satellite Image Segmentation
PythonTensorFlowOpenCV
92% accuracy — +21 pts vs baselineMar 2024

Satellite Image Segmentation

Problem

Manual terrain analysis of satellite imagery is slow, expensive, and impractical at scale — existing open-source tools lacked accuracy for remote or low-resolution regions.

Built

Built a deep-learning pipeline using CNN/U-Net architecture with transfer learning and augmentation. Evaluated 4 model variants and selected U-Net after benchmarking against baseline segmentation accuracy of ~71%.

Result

Achieved 92% terrain classification accuracy — a 21-point improvement over baseline. Pipeline processes imagery in seconds vs hours of manual analysis, and is deployed as a public demo.

Live demo →GitHub →

03 — Where I've delivered

Experience.

One industry role at Novoguard, one ongoing research track at MIET. Both running since 2022.

Novoguard LLC (Verified Care)

Software Developer — Remote

Oct 2024 — Jan 2025

Certificate →
  • Rebuilt 4 core clinic booking flows from scratch using React — reduced form-completion steps by 40% and eliminated a class of drop-off errors reported by QA before handoff.
  • Designed and shipped 6 RESTful API endpoints (clinic search, filtering, auth, and profile) in Node.js; chose JWT over session-based auth to keep the service stateless and horizontally scalable.
  • Integrated Google Maps and a geolocation API to power proximity-based clinic discovery — replaced a manual city-dropdown with a live radius search, cutting average time-to-find-clinic by an estimated 3×.

MIET Meerut

Deep Learning Researcher

2022 — 2026

  • Co-authored "A Deep Learning Expedition Through Satellite Imagery for Environmental Insight" — research paper on deep learning for land-cover classification and environmental monitoring.
  • Co-authored research on multi-sensor fusion and preprocessing pipelines integrating Landsat, Sentinel, SAR, DEM, and meteorological data.
  • Paper co-authored with Megha Sharma, Abhishek Verma, Rachit Sharma, and supervisor Pragya Gaur.

04 — Publications

Research & papers.

Peer-reviewed work at the intersection of deep learning, remote sensing, and environmental monitoring.

Published · MIET Meerut · 2025

A Deep Learning Expedition Through Satellite Imagery for Environmental Insight

Feature extractionCNN
Global contextTransformer
Temporal dynamicsLSTM

Spatial feature maps from multi-band satellite imagery — extracting edges, textures, and spectral signatures across Landsat and Sentinel data.

95%Train accuracy

Long-range dependency modelling across image patches — capturing spatial relationships that local convolutions miss in complex terrain types.

92%Val. accuracy

Sequential change detection over time-series imagery — identifying environmental shifts in vegetation, water, and urban cover across seasons.

0.20Final train loss

Abstract

Presents a deep learning framework to extract high-resolution environmental insights from multispectral and hyperspectral satellite imagery sourced from Landsat, Sentinel, and commercial satellites. Integrates CNNs for spatial feature extraction, Transformer modules for long-range dependency modelling, and LSTM networks for temporal change detection — across four land-cover classes.

Key contributions

  • CNN + Transformer + LSTM fusion for spatial, global, and temporal learning
  • Multi-sensor pipeline: Landsat, Sentinel, SAR, DEM, and meteorological fusion
  • Radiometric correction, cloud masking, augmentation, spectral normalisation
  • 4 land-cover classes: Water, Vegetation, Urban, Barren
95%Train accuracy
92%Val. accuracy
0.20Train loss
0.25Val. loss
20Epochs
4Classes
Megha Sharma1st AuthorRachit Singh2nd AuthorRachit Sharma3rd AuthorAbhishek Verma4th AuthorPragya GaurSupervisor
View full paper →

05 — Expertise

Stack.

What I reach for first.

JavaScript / React / Next.jsTypeScriptTailwind CSSNode.js & REST APIsPython (Pandas, NumPy)TensorFlow / Keras / CNNSQL (MySQL)MongoDBGoogle Analytics APITableau / MatplotlibOpenCVFastAPI / Celery / RedisDockerGit & CI/CDJava
JavaScript / React / Next.jsTypeScriptTailwind CSSNode.js & REST APIsPython (Pandas, NumPy)TensorFlow / Keras / CNNSQL (MySQL)MongoDBGoogle Analytics APITableau / MatplotlibOpenCVFastAPI / Celery / RedisDockerGit & CI/CDJava

06 — Thoughts & writing

Recent articles.

Practical write-ups on React patterns, front-end architecture, and the problems I actually ran into building real projects.

01
TutorialReact · Front-end

Create a Loading Screen in React

Most React apps skip the loading state entirely — users stare at a blank white screen for half a second before content snaps in. This guide walks through building a polished, animated loading screen using a simple boolean state flag, CSS keyframe animations, and a useEffect cleanup pattern that prevents the dreaded flash on fast connections.

Mar 20245 min read
02
Deep DiveReact · Patterns

Form Validation with Custom Hooks

Repeating validation logic across every form in a codebase is a maintenance nightmare. This article extracts the full validation lifecycle — touched state, error messages, async field checks, and submit locking — into a single reusable useForm hook.

May 20248 min read
03
PatternReact · UI

Pagination Component Patterns

Pagination is deceptively tricky: ellipsis logic, edge-case handling, accessible keyboard navigation, and URL-synced state all need to work together. This breakdown covers three patterns — offset-based, cursor-based, and infinite scroll — with trade-offs for each.

Aug 20247 min read

07 — Verified proof

The work is public.

Certificate, paper, source code — everything below links to the actual thing.

Certificate of Experience

Novoguard LLC (Verified Care)

Issued Dec 2025 by Novoguard LLC for the Software Developer engagement (Oct 2024 – Jan 2025). Covers contributions to clinic booking flows, REST API development, and geolocation integration on the Verified Care platform.

Remote · Oct 2024 – Jan 2025Open certificate
Published Research

Conference Paper

"A Deep Learning Expedition Through Satellite Imagery for Environmental Insight." Co-authored with 4 peers and a faculty supervisor at MIET Meerut. 95% training / 92% validation accuracy across 20 epochs, 4 land-cover classes.

5 authors · MIET Meerut · 2025Read paper
Open Source

Prospera AI — GitHub

Full source for the Gemini-powered career guidance platform — publicly auditable code, commit history, and architecture. Built solo in under 6 weeks, handling 1,000+ concurrent users on launch.

Next.js · Gemini API · TailwindView repository
2Companies
1000+Concurrent users
92%Model accuracy
78%ROI improvement
5Research co-authors

08 — Let's build

Let's work
together.

Looking for full-time SDE and ML roles, and open to freelance contracts. I reply same day.

Email me →Schedule a call
Emailrachitdude008@gmail.com
GitHubgithub.com/devxrachit
LinkedInrachit-singh-471491258
LocationIndia, Asia — IST