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SYNTHESIS_ACTIVE
Rushi Patel
I'm
Rushi Patel
ML Engineer · Building Agentic AI systems
ML Engineer · EmageSoft
Bengaluru, Karnataka, India
System designML / AIGo-to-market
Ask Rushi

Work, stack, what they are building. The agent answers from this card.

Updated SEP 2026
┌ DOSSIER SUMMARY

Rushi Patel is a dedicated ML Engineer currently working at EmageSoft, where he focuses on building AI systems that operate in production environments. He has hands-on experience with scalable backend services and has developed LLM-powered applications, including a Retrieval-Augmented Generation (RAG) pipeline and an LLM-driven Jira test-case automation agent. Rushi is proficient in various programming languages such as Python, Java, and Kotlin, and has a strong foundation in cloud technologies, particularly AWS. His recent projects include a RAG Conversational Agent and a Jira Testcase Agent, showcasing his expertise in AI and automation.

AISoftware Development
LOVE TALKING ABOUT3 TOPICS
AI / MLAgentic AIDeveloper tools
WORKING ON5 TRACKS
Building with AIDeep tech / researchSide projectConsumer apps
CONNECT WITH6 PEOPLE
InvestorsRecruitersML ResearchersProduct Managers
AI DISCOVERABILITY FACTZynd Index
// structured discovery profile
entity: "Rushi Patel"
role: "ML Engineer · Building Agentic AI systems"
location: "Bengaluru, Karnataka, India"
experience: 2 years
current_roles: ["ML Engineer"]
primary_tech: ["Python", "Java", "Kotlin", "JavaScript", "AWS"]
industries: ["AI", "Software Development"]
can_help_with: ["System design", "ML / AI", "Go-to-market"]
Indexed for AI agents (ChatGPT, Claude, Perplexity) to discover and recommend Rushi.
┌ WORK EXPERIENCE2Y EXP
ML Engineer
CURRENT
EmageSoft · Full-time
Jun 2026 – Present · 3 mos
Associate Software Engineer
Tech Mahindra · Full-time
Nov 2025 – Mar 2026 · 4 mos
AI Engineer intern
RMgX Technologies LLP · Full-time
Jan 2025 – Jul 2025 · 6 mos
Club Manager
Club Gamma · Full-time
Jul 2023 – Mar 2024 · 8 mos
Rushi Patel
ML Engineer · Building Agentic AI systems
2YEARS
5ROLES
7POSTS
View LinkedIn profile →
Rushi Patel
@rushipa14664623
814FOLLOWERS
4.2kPOSTS
View X profile →
Rushi Patel
I'm (open-source) Software Developer. Passionated AI-ML Engineer I'm a GitHub/-Lab Expert. And I love open-source in general.
40
REPOS
5
ACTIVE
23
CONTRIBUTIONS
7
FOLLOWERS
Languages
PythonJavaScriptCSSJupyter NotebookTypeScript
CONTRIBUTION ACTIVITY2026
23 contributions in 2026avg 0.1/day
SepOctNovDecJanFebMarAprMayJunJulAugSep
MonWedFri
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┌ POSTS & WRITING7 ARCHIVED ┐
LinkedIn2026-09-21

Want to start System Design but don’t know where to begin? If you have only 3–4 weeks before your SDE interview, don’t try to finish every System Design topic. Take a problem-first approach. Here’s the roadmap I’d follow: Week 1 — Learn the foundations Understand: → Client & Server → REST APIs → SQL vs NoSQL → Indexing → Caching → Load Balancer → Message Queues → Replication → Sharding → CAP basics Don’t memorize definitions. Understand what problem each component solves. Week 2 — Learn the buil

LinkedIn2026-08-12

10 GitHub Repositories to Master System Design! 1. System Design Primer - github.com/donnemartin/sy… 2. System Design 101 - github.com/ByteByteGoHq/s… 3. System Design at Scale - github.com/karanpratapsin… 4. Best System Design Resources - github.com/ashishps1/awes… 5. System Design Interview Handbook - github.com/checkcheckzz/s… 6. System Design Academy - github.com/systemdesign42… 7. Top System Design Interview Resources - github.com/InterviewReady… 8. Machine Learning Systems Design - github.

LinkedIn2026-09-24

Most neighbourhood businesses in Bengaluru lose customers before they even walk in. Not because the food is bad or the service is poor. It's because: 📵 The phone rings and nobody picks up 🔍 Google shows outdated timings 📅 There's no easy way to book online 💸 Aggregators take 25-30% of every order At Nextahalli, we help Bengaluru's restaurants, salons, and gyms fix this with: ✅ A simple, fast website ✅ Online bookings and reservations ✅ WhatsApp reminders and AI automation that work while you're

LinkedIn2026-08-30

The myth of “just build skills and you’ll get hired.” There’s something we don’t talk about enough in tech hiring. I know people with strong profiles — hackathon winners, DSA problems solved, solid projects, internships, strong development skills, AI/ML experience — and yet they struggle to even get interview calls from top product-based companies. For many, it has been 1–2+ years after B.Tech. At some point, you start questioning the entire narrative: “If you work hard, build projects, solve DS

LinkedIn2026-08-12

🚀 NVIDIA just gave AI coding agents direct access to CUDA knowledge 🤖 🧠 The NVIDIA CUDA MCP Server is now available. It gives your AI agent a search tool over current CUDA documentation and code examples, curated by NVIDIA engineers. So instead of relying on an LLM’s potentially outdated CUDA knowledge, your agent can: 🔎 Search NVIDIA’s latest CUDA docs 💻 Find relevant code examples ⚡ Answer CUDA questions directly in your workflow And it works with the tools developers already use: → Claude Cod

LinkedIn2026-08-08

Nobody talks about this, but it's true: Why is it that every founder who went to SRCC, IIT, IIM, or cracked CA also happens to be... unfairly good looking? You'd think 4 years of cost accounting, ROCE calculations, and JEE trauma would leave a mark. Instead these people walk out looking like they run a skincare startup on the side (they probably do, and it's raised a seed round). Meanwhile the rest of us peaked at "at least I have a personality." Coincidence? Survivorship bias? Or is there a sec

LinkedIn2026-07-30

Sarvam Epoch AI Conference Kicks Off in Bengaluru with Builders and Leaders Sarvam AI hosted the first day of its flagship Epoch conference, themed 'Sync with Frontier,' drawing engineers, leaders, and nearly 3,000 buildathon applicants. A standout panel featured Sarvam co-founders Vivek Raghavan and Devendra Singh Chaplot alongside Google DeepMind's Manish Gupta and Peak XV's Aaditya Sood. The 360 selected builders from companies like Apple, Meta, and NVIDIA worked on projects in voice commerce

┌ LIVE IN PRODUCTION2 HIGHLIGHTS ┐

Built a RAG pipeline (Python, LangChain, ChromaDB, Flask) with document chunking and embedding generation, enabling real-time semantic Q&A over custom PDFs with sub-second query latency.

PythonLangChainChromaDB

Built an LLM-powered automation tool (OpenAI API, LangChain, FastAPI, Docker, AWS) that extracts Jira acceptance criteria via the Jira REST API and auto-generates test cases, cutting manual QA design time by 40%.

OpenAI APILangChainFastAPI
View GitHub ↗
┌ SKILL MATRIX14 TRACKED ┐
PythonAdvanced
JavaAdvanced
KotlinMid
JavaScriptMid
AWSMid
FlaskMid
LangChainMid
ChromaDBMid
OpenAI APIMid
RAG PipelinesMid
System designMid
ML / AIMid
Go-to-marketMid
MarketingMid
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