Software research & engineering lab

We build what we
believe should exist.

Our work lives somewhere between research and reality. We follow ideas wherever they lead, sometimes into products of our own, sometimes into collaborations with founders pursuing ideas worth believing in.

Trusted by teams building at

Featured works

Products, research & contributions.

Speaking · Read Aloud

The migratory patterns of Arctic terns span nearly the entire globe, a journey unmatched by any other living creature

Speaking 79Writing 74Reading 82Listening 76
79 ▲9
Predicted band
156
words / min
92%
accuracy
8
day streak

QyveraPTEpractice, scored, tracked

AI scores all four skills on every attempt — mocks roll into one climbing band score.

Product
A Framework for Optimizing Cloud Deployment
Qyvera Labs · Cloud Systems Group | IEEE

Abstract—We present a framework for optimizing the deployment of cloud-native workloads across heterogeneous providers and regions. Placement is cast as a multi-objective problem over cost, latency and reliability, and solved to select configurations that satisfy service-level objectives (SLOs) while minimizing spend. On representative workloads it lowers cost by up to 31% at equal or better tail latency.

Index Terms—cloud computing, deployment optimization, multi-objective optimization, SLO, latency, reliability.

I. INTRODUCTION

Modern applications are increasingly deployed across multiple cloud providers and geographic regions. Choosing where to place each service is a delicate trade-off between operating cost, end-to-end latency and fault tolerance. Static, hand-tuned configurations rarely remain optimal as traffic and provider pricing shift over hours and days.

II. PROBLEM FORMULATION

We model deployment as a constrained optimization over a set of candidate placements. Let x denote an assignment of services to regions and instance classes, annotated with measured price pi and per-service latency:

minx Σi pi xi  s.t.  L(x) ≤ Lmax, A(x) ≥ Amin   (1)

where L(x) is the end-to-end tail latency and A(x) the composed availability of the chosen placement, both differentiable in the relaxed assignment.

Fig. 1 — cost vs. latency across providers.
III. OPTIMIZATION

A guided branch-and-bound searches the space using cost and latency lower bounds for pruning, warm-starting from the previous solution to make re-optimization cheap under drift.

IV. EVALUATION

Across three workloads and four providers, the framework lowers cost by 18–31% while meeting all SLOs, and adapts within seconds to price and traffic changes.

V. CONCLUSION

Treating deployment as continuous multi-objective optimization yields cheaper, more reliable placements than static design.

Optimizing Cloud Deployment

Deploy cheaper without breaking SLOs — up to 31% saved.

Research · IEEE
कुल कोष · दैनिक
Today in the samaj
२५
असार
Today · पञ्चमी
२०८२ असार · 3 samaj events this week
कुलदीपबाजे · Founder
रमेशबुबा · Chair
सीताफुपू · Committee
अनिल
गीता
LATEST CAUSE
Temple Maintainance
रू 1,357 Raised
of रू 10,000 Goal14%
Donate Now
कोष विवरण · Ledger21 entries
Temple Maintainance+रू 333
कुKul Admin

Kul Samajकुल समाज

One app for the whole clan — a living family tree, shared causes & a transparent fund.

Community App

memvidupstream

9 PRs merged — SIMD search, HNSW & embedding infra.

Open source
Solanadevnet

CivCamdecentralized ANPR

Speed cameras that can't lie — plates read at the edge, every violation anchored on Solana.

Web3 / Blockchain
What we do

One studio, the whole stack.

Automation

Connect your tools and automate the repetitive. We wire up pipelines that trigger, transform and deliver — with no manual steps in between.

Scale Worldwide

Build for the world. Dedicated studios take your product from zero to millions of users, shipping globally-scaled apps with real ownership and zero hand-off overhead.

Business Intelligence

We wire AI into the core of your business, turning scattered data into live forecasts, reports, and decisions, so your team operates with superhuman clarity.

Faster Execution

Ship production-ready features in days, not quarters.

Qyvera
ReactTypeScriptNode.jsVercelDocker
PythonAWSRustGoFigma
AndroidAppleEthereumSolanaBitcoin

All Domains

Web, mobile, AI, blockchain, one studio for every layer of your product, covering the full modern stack.

Co-founders Panel

Team & vision.

Every mission has a beginning. Ours started with a conversation about problems worth solving.

The more we explored those ideas, the more one thing became clear: we didn’t just want to build software, we wanted to build the kind of engineering lab we wished existed. A place where research leads the way, curiosity is expected, and every product is treated like a craft.

Today, we’re a small team with different strengths but one shared belief: obsession beats everything. We challenge each other, learn relentlessly, listen closely to the people we build for, and keep refining until the work speaks for itself.

We’re here for the love of the game.
And this is just the beginning!

Anish Paudel
Anish Paudel
Head of Operation

Believes the best ideas are shaped through curiosity, thoughtful execution, and a willingness to keep improving.

Bijay Adhikari
Bijay Adhikari
Head of Sales

Values genuine relationships above all else, creating opportunities through trust, openness, and meaningful conversations.

Diwas Bhandari
Diwas Bhandari
Member of Technical Staff

Research-driven product thinker with a sharp eye for detail and a passion for solving real problems.

Pankaj Singh
Pankaj Singh
Member of Technical Staff

Software wizard who never went to university, yet mastered everything from computer fundamentals to modern frameworks.

Samadesh Poudel
Samadesh Poudel
Member of Technical Staff

An intersection of technology and business, shaping products with both perspectives in mind.

Get in touch

Let’s build something together.

Tell us about your product, project, or research — a web app, platform, AI product, or anything else — and we’ll get back within one business day.

hello@qyvera.com