Hi, I'm

Jayaram V

Software Development Engineer

I build distributed backends, low-level systems, and AI tooling.

Jayaram V

About

I'm a software engineer specializing in backend systems, distributed architectures, and developer tooling. I've built storage engines, reverse proxies, and AI agents — with a focus on performance, reliability, and clean design. Currently an R&D Intern at Ericsson working on CI/CD analytics and AI-driven defect triage.

India jayaramv405001@gmail.com

Experience

R&D Intern

Jan 2026 – Present

Ericsson

  • ▹ Architected ETL pipelines for ingesting and normalizing CI/CD build artifacts and JIRA ticket metadata across 20+ release cycles into analytics-ready datasets.
  • ▹ Developed a layered defect classifier combining rule-based heuristics with semantic similarity and Sentence Transformer embeddings, achieving 0.72 precision on multi-version failure triage.
  • ▹ Configured MCP server tooling and conducted root cause analysis on CI regression failures, taxonomizing 7 distinct defect categories via Gerrit commit-diff pattern mining.
  • ▹ Building an AI agent to suggest fix recommendations for failing testcases by correlating defect patterns with historical Gerrit code changes.

Research

Portfolio Tokenization via Mean-Variance Optimization for Structured Asset Packaging

2026

IEEE ICoICT 2026

  • ▹ Proposed an optimization-driven framework for decomposing financial portfolios into risk-balanced tokenized packages.
  • ▹ Developed an iterative PSO-based solver on Markowitz mean-variance model, achieving 90–95% tokenization efficiency across portfolios of 50–500 assets.
  • ▹ Implemented on-chain realization via ERC-1155 smart contracts for immutable, auditable package representation on Ethereum.

Projects

LSM Storage Engine

Log-Structured Merge-tree key-value store with WAL + CRC32 checksums, skip list memtable, and SSTable compaction. Bloom filters, multi-level compaction, and WAL replay mirroring RocksDB/LevelDB.

Go

Second Brain

Distributed microservices backend (5 services) with gRPC, API gateway, JWT auth, Redis-cached validation, and circuit breakers. Async embedding pipeline via RabbitMQ into Qdrant vectors with RAG query engine.

GoPythongRPCMongoDBRedisRabbitMQQdrantDocker

Go Chat (E2EE)

Real-time terminal chat with end-to-end encryption. X25519 key exchange + AES-256-GCM. Custom length-prefixed protocol over TLS with Bubbletea TUI.

GoTLSX25519AES-256-GCMBubbletea

Bloom Filter

From-scratch Bloom filter with murmur3 double hashing, bit-level uint64 storage, and thread safety via RWMutex. 12% faster lookups than bits-and-blooms/bloom.

Go

Go Reverse Proxy

High-performance reverse proxy with round-robin load balancing, per-IP rate limiting, TTL-based caching, and health checks. 100% test coverage, zero data races, ~15MB Alpine Docker images.

GoDocker

Skills

Languages

JavaTypeScriptPythonGoCC++SQLJavaScriptSolidity

Frameworks

ReactNext.jsNode.jsExpress.jsHardhatMongoDB

Infrastructure

DockerKubernetesAWSGitHub ActionsVercelCloudflare

Databases

MySQLMongoDBRedisQdrantPostgreSQL

Tools

GitgRPCRabbitMQLangChainDocker Compose

Achievements

  • ▹ Winner – ETHGlobal (Agentic Ethereum, Feb 2025) – Best Implementation of Privy's Policy Engine
  • ▹ Solved 300+ algorithmic problems on LeetCode, Codeforces, and HackerRank
  • ▹ Supervised Machine Learning: Regression and Classification (Coursera)
  • ▹ Smart Contracts (Coursera)

Education

B.Tech in Computer Science

2022 – 2026

Indian Institute of Information Technology, Sri City

Get In Touch

I'm currently open to new opportunities. Whether you have a question or just want to say hi, my inbox is always open.

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