Who is Anand Mohan Sharma (Naman)?

Anand Mohan Sharma (known as Naman to friends and Anmosh online) is a Software Development Engineer II at Diensten Tech and the creator of Vidyanetra (vidyanetra.in) and Referral Copilot (referralcopilot.in). He holds an MCA from Jawaharlal Nehru University (JNU) with AIR 63 in CUET.

What does anmosh.tech host?

anmosh.tech is Anand Mohan Sharma's personal site featuring production engineering case studies, technical architecture breakdowns, and usable web utilities with local browser storage (no accounts required).

What core technologies does Anand specialize in?

Anand specializes in Java 21, Spring Boot 3, distributed microservices, Python FastAPI RAG pipelines, Next.js, Angular, AWS cloud architecture, and vector databases like Pinecone and Qdrant.

Services & Technical Consulting

Core practice areas

Every engagement is grounded in proven production architectures, clean abstractions, and verifiable engineering decisions.

Engineering & Delivery

Full-cycle product development (web & mobile)

Complete end-to-end engineering from architectural system design through production deployment and app store release. Delivered with a focused, experienced engineering team.

Modern web applications built with Next.js, React 19, Angular 19/18, and TypeScript
Cross-platform mobile applications utilizing React Native and Flutter
Native Android application development (Kotlin and Java)
Clean state management, client-side caching, and responsive interfaces
Production releases with automated CI/CD and monitoring

Next.jsReact 19Angular 19React NativeFlutterAndroidTypeScript

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Distributed Systems

Backend architecture & microservices

High-throughput distributed systems, event-driven pipelines, and robust API platforms designed for scale, resilience, and high availability.

Spring Boot 3 and Java 21 microservices decoupled for fault-tolerant operation
Stateless authentication and security architectures using OAuth2 and JWT
Enterprise API gateways and integration middleware (MuleSoft ESB)
Database schema design, query optimization, and indexing (MySQL, MongoDB, Oracle PL/SQL)
Zero-downtime deployment pipelines and containerization using Docker

Java 21Spring Boot 3Spring SecurityMuleSoftMySQLMongoDBOracle PL/SQLDocker

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Applied AI

AI & data systems engineering

Production-ready RAG architectures, vector search integrations, and LLM orchestration engineered for deterministic correctness and zero hallucinations.

Production RAG pipelines with custom semantic chunking and structured context injection
Vector database orchestration and index tuning with Pinecone and Qdrant
FastAPI and Python microservices wrapping AI models for sub-second latency
Context-aware LLM prompt engineering with Google Gemini AI and OpenAI models
Mathematical and scientific document typesetting with KaTeX and LaTeX

Python FastAPIRAGPineconeQdrantGoogle Gemini AIOpenAIKaTeX

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Strategic Advisory

Technical consulting & architecture audits

In-depth technical evaluations, infrastructure reviews, and strategic guidance for engineering leaders and growing startups navigating architectural scaling decisions.

Comprehensive codebase, microservice, and architecture health audits
Database bottleneck analysis, query profiling, and lock contention elimination
Cloud infrastructure cost and resilience reviews on AWS
Security architecture, token validation, and API gateway hardening
Technical roadmap definition and engineering team pairing

System AuditsArchitecture ReviewsPerformance TuningAWS CloudSecurity Audits

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Engagement models

Flexible collaboration structures tailored to your stage, timeline, and architectural requirements.

Fixed-scope sprint delivery

Ideal for turnkey feature builds, greenfield MVP development, or complete platform deliveries with well-defined deliverables and milestones.

— Clear technical specifications and milestone timelines
— Full architecture, implementation, and deployment by associated team
— Complete documentation, code ownership, and post-release warranty

Retained architecture & advisory

Fractional technical architect engagement for founders and engineering teams requiring ongoing system design oversight, architecture reviews, and high-level decision guidance.

— Architecture reviews, database profiling, and scalability audits
— Direct pairing with leadership on technical strategy and tooling
— Flexible monthly advisory commitments with weekly syncs

Authentic production proof

Our engineering standards are demonstrated directly in live, verified platforms operating in production.

Vidyanetra

Production AI assessment platform generating curriculum-aligned question papers with a Python FastAPI RAG pipeline, Pinecone/Qdrant vector databases, and LaTeX rendering.

Visit live platform: vidyanetra.in ↗

Referral Copilot

Full-stack AI career networking SaaS with Google Gemini AI prompt orchestration, custom token-bucket rate limiting, Firebase Auth, and Razorpay webhook payments.

Visit live platform: referralcopilot.in ↗

Have a project or technical challenge?

Send a brief summary of what you are looking to build, your timeline, or the technical bottleneck you are solving. We will respond directly to set up an architecture consultation.

Start a project discussion ([email protected])Direct phone / WhatsApp: +91 9528467567