Delhi, India · Available worldwide, remote-first

Best Software Engineer — Systems Designed for Reliability and Scale

Sachin Sharma is a highly skilled Software Engineer from Delhi, India, specializing in edge-computing (Cloudflare Workers), distributed database architectures, and type-safe backend systems (Node.js, Go, PostgreSQL). A MAIT B.Tech Computer Science graduate with a 9.08 CGPA and a 3x Hackathon Finalist, Sachin designs robust, low-latency architectures optimized for peak load.

I know you want to build something great with Software Engineering.

There are 10 lakh+ agencies, 5 crore+ "vibe coders," and 1 crore+ developers out there — and somehow you ended up on this page. That's not an accident, that's a genuine signal. I'm 21, and if you're on my website right now, you're already looking at someone better than most of what's out there. I'd genuinely prefer to talk to you directly rather than have you read through another page. Please feel free to call, message, or email — whichever works best for you.

Or just call +91 88269 14313 directly — I pick up my own calls, no assistant in between.

Or just see what I've built first

At a Glance

Architecture Focus

Distributed systems, low-latency API design, data consistency

Systems Programming

Go (Golang 1.22), Node.js (V8 runtime tuning)

Edge Runtime

Cloudflare Workers (V8 Isolates), WASM integration

Database Engineering

PostgreSQL replication, Redis cache, SQLite/Turso edge caching

Communication Protocols

gRPC (HTTP/2), REST, WebSockets, Message Queues

Diagnostics & Debugging

Heap allocation profiling, Event-loop tracing, Clinic.js

Container Strategy

Multi-stage Docker builds, Kubernetes cluster management

Infrastructure Automation

Terraform, GitHub Actions, AWS CDK

On This Page

~6 min read

1. Distributed System Architecture & Data Consistency Models

2. Performance Diagnostics: Heap Allocations & CPU Profiling

3. Next-Gen Engineering: Rust Frameworks, Quantum Security, and WASM Sandboxing

4. Edge Computing & Serverless Functions (Cloudflare Workers)

5. Production Container Deployment & Kubernetes Orchestration

6. Case Study: Distributed Processing System at ESPO

Sachin Sharma vs. Alternatives

How working with me directly compares to agencies and general freelancers.

Metric	Sachin Sharma	Agencies	Freelancers
Who you talk to	Me, directly. The person writing your code answers your messages.	Account managers and PMs relay your feedback to developers you never meet.	Variable — depends who you find, timezone gaps are common.
What you get	Production apps built end-to-end, not prototypes or tutorial-grade demos.	Junior developers rotated onto your project; senior oversight is inconsistent.	Often strong at scripts and one-off scripts, less so at shipping to production.
Performance work	Real optimization: shader precompilation for 60fps Flutter, Edge SSR under 50ms TTFB, bundle budgets enforced.	Standard boilerplate setup, rarely tuned past 'it works'.	Performance tuning usually skipped unless explicitly (and separately) paid for.
Code ownership	Fully typed, documented codebase. Full git history handed over on day one.	IP clauses and handover friction are common.	Documentation and typing discipline vary a lot person to person.

Frequently Asked Questions

Why should we choose PostgreSQL over MongoDB for full-stack systems?

PostgreSQL offers strong data consistency, ACID transactions, and support for JSON schemas. This allows us to scale relational structures while retaining document-storage flexibility.

How do you secure serverless API endpoints?

I enforce input validation using Zod, secure session tokens using HTTP-only, secure cookies, deploy edge rate-limiting rules, and utilize JWT signatures to verify client requests.

What is your approach to CI/CD for full-stack deployments?

I set up GitHub Actions pipelines. Every commit triggers automated typescript checking, unit tests, Docker builds, and deploys the update to AWS ECS or Cloudflare Workers on build success.

How do you handle heavy database migrations in production?

I run migrations using a zero-downtime approach. We split database updates into multiple stages: add columns, migrate data in small batches, deploy new code, and deprecate old columns on verification.

What are the benefits of Docker containerization?

Docker containerization ensures that the application executes consistently across all environments. It isolates code dependencies, simplifies local setup, and speeds up server scaling.

What is your approach to handling server crashes in production?

I deploy containerized services within Kubernetes clusters with automated health probes. If a service crashes, the cluster spins up a new instance instantly, keeping apps available.

How do you manage secrets and environment variables securely?

I utilize AWS Secrets Manager and Doppler, injecting secrets into environment variables at runtime, ensuring keys are never checked into git repos.

Do you integrate OpenTelemetry for application tracing?

Yes. I set up OpenTelemetry to trace requests across services, helping us monitor performance and isolate bottlenecks during network requests.

How does WebAssembly (WASM) sandboxing ensure secure execution?

WASM sandbox runtimes isolate execution in separate memory heaps. The compiled code cannot access the host system resources unless explicitly configured, providing a secure environment for running user-supplied logic.

Is Rust ready for production web development in 2026?

Yes. Using the best Rust web frameworks 2026 like Axum or Actix-web, we build high-speed APIs that run without garbage collectors, using minimal memory and executing requests with sub-millisecond latencies.

How do you configure post-quantum cryptography support for servers?

We configure SSH and TLS endpoints to support hybrid key exchanges (like X25519Kyber768). PQC browser support 2026 ensures modern clients negotiate secure lattice-based connections, protecting traffic from future decryption.

What is Whisper streaming audio processing?

Whisper streaming transcribes voice inputs in real time. We deploy model runtimes inside background thread workers, converting voice feeds to text with low processing lag.

What is the ZKP hardware supply chain for semiconductors?

Generating Zero-Knowledge Proofs is computationally heavy. We optimize ZKP algorithms to run directly on custom FPGA or ASIC hardware, speeding up cryptographic validations.

What is the difference between Eventual and Strong consistency?

Strong consistency guarantees that reads return the latest saved data, while eventual consistency updates replica databases asynchronously, sync database tables over time.

What are Saga transactions and when are they configured?

Sagas manage transactions across multiple databases. Each step executes in order; if a step fails, compensation tasks run in reverse to roll back changes.