I’m Sahil Bodke. I engineer Python backends and AI-powered applications, turning complex ideas into reliable, usable software.
01The engineer
I’m a Computer Engineering graduate from Pune. My work spans Python APIs, data systems, Retrieval-Augmented Generation, machine learning and application security.
Most recently I designed, built and released a live food-delivery product — three Android apps and a web platform on one REST API — owning the architecture, database design and releases. Alongside that I build RAG systems that cite their sources and say so when they don’t know.
02Systems I build
The pieces I work with, and how they connect. Select a node to see where it shows up in my work.
Python
The language under everything here — APIs, ML pipelines, automation and tooling.
03Selected work
Each project is labelled for what it is — a client engagement, an internship project, an academic capstone or an independent build. Open any of them for the full case study.
Showing 6 of 6 projects.
A food-delivery product suite — three Android apps and a web platform — running on a single Python REST API that I designed, built and released end to end.
A Retrieval-Augmented Generation assistant that answers technical-support questions from a document corpus, cites the passages it used, and says so when it cannot answer.
A hybrid classifier that fuses text, image-forensics and propagation-pattern signals to label news as Real, Fake or Unverified — and routes uncertain cases to a human.
A final-year capstone combining a custom IoT wearable with computer vision to monitor PPE compliance and worker vitals, with tiered emergency alerts.
A permissioned-blockchain platform where universities issue tamper-evident credentials that an employer can verify in seconds, without the issuer being online.
A weather platform with both a Flask web app and a Tkinter desktop GUI over two weather APIs, with a caching layer that removes redundant third-party calls.
04Engineering details
Pick a project, then step through its architecture stage by stage.
Customers browse menus, build a cart, check out and follow their order in the Android app or on the web platform.
Skills
Grouped by where they sit in a system. No percentages or star ratings — the projects above show how each one was used.
Used across the RAG assistant, the fake-news classifier and the industrial-safety capstone.
The core of the Best Food Services platform and the serving layer behind my ML projects.
Relational modelling for production data, and vector search for retrieval pipelines.
How the work gets tested, packaged and released — including Android releases on Google Play.
From my VAPT and security-operations internship, and carried into how I build APIs.
Languages and the Web3 stack behind the credential-verification project.
Experience
Three different kinds of work, labelled as what they were. Select a role to expand it.
Designing, building and releasing a live food-delivery product suite: three Android apps on Google Play and a web platform on one Python REST API.
Built a dual-interface weather-forecasting platform in Python, with a caching layer over two third-party weather APIs.
Vulnerability assessment, penetration testing and SIEM monitoring for web applications and network infrastructure.
05Contact
I’m open to roles in Python backend engineering, AI applications, RAG and related engineering work. Email is the fastest way to reach me.