Headline

Software Developer @ Codifinary Technologies | Building Products, Platforms & Intelligent Systems

About

I'm a Software Developer passionate about building products and systems that solve real-world problems at scale. Currently, I work at Codifinary Technologies, contributing to developer platforms, observability systems, and intelligent infrastructure. My work spans building production-ready features, improving system reliability, and creating tools that help teams better understand and operate complex software systems. Over the past few years, I've worked across backend engineering, cloud-native applications, distributed systems, AI-powered products, and full-stack development. Previously, at Laxsis Technologies, I contributed to backend services, APIs, cloud integrations, and event-driven architectures while working with modern engineering practices and scalable system design. Beyond my professional work, I enjoy exploring emerging technologies, building side projects, and sharing what I learn. My interests lie at the intersection of developer infrastructure, intelligent systems, observability, AI, and product engineering. I'm always excited to connect with builders, engineers, founders, and people working on ambitious ideas.

Location

Bengaluru

AI stack

claude code

langchain

langfuse

n8n

Qdrant

Supabase

Work experience

SDE at CodeXray | Agentic SRE | Full-Stack Observability | API Security, Jun 2026 - Present · 4 mos, Bengaluru, Karnataka, India, Built an AI code-review & test-generation tool (Claude Code + GitHub MCP) that auto-reviews every PR and generates test files in CI/CD, raising baseline coverage and cutting manual review effort team-wide. Optimized Go query services and ClickHouse retrieval pipelines to process 100K+ telemetry records at millisecond latency, cutting dashboard load times. Owned software testing, debugging, release validation, and QA across DB agents, collector, and query services, reducing production regressions. Designed the frontend data-fetching architecture (TanStack Query, Zustand, custom hooks), improving caching, pagination, and real-time consistency. Improved dashboard responsiveness with debouncing, infinite scrolling, and skeleton loaders, enabling smooth rendering of large observability datasets. Built and shipped database dashboards and telemetry-heavy screens for a full-stack observability platform.

SDE Intern at CodeXray | Agentic SRE | Full-Stack Observability | API Security, Dec 2025 - May 2026 · 6 mos, Bangalore Urban, Karnataka, India

AI and Fullstack Engineer at Vertica AI, Jun 2025 - Dec 2025 · 7 mos, India, Built and deployed a live AI-powered education & careers platform with growing users that matches student profiles to best-fit universities and jobs abroad. Developed AI profile evaluation and top-10 recommendation workflows, generating personalized university and job matches from each student’s profile. Built an in-app AI chatbot with live admin handover via webhooks, escalating complex queries from the bot to human admins in real time. Designed a form-based onboarding flow with role-based access control (RBAC) and per-role data segregation using PostgreSQL row-level security (RLS). Engineered secure role-based document workflows with selective visibility for user-specific private documents. Built admin messaging, course CRUD, and application progress tracking dashboards, improving counselor workflow visibility.

Java Backend Intern at Laxsis Technologies, May 2025 - Oct 2025 · 6 mos, Remote, Built an AI orchestration layer for the platform – a LiteLLM multi-model gateway (OpenAI, Gemini, Azure) with cost/latency routing, Langfuse + OpenTelemetry tracing, and a RAG pipeline on Qdrant with hybrid search and multi-tenant isolation. Engineered a semantic ingestion pipeline (semantic/hierarchical chunking + embeddings) with dynamic prompt assembly and automatic evaluation for relevance, accuracy, and hallucination risk. Containerized and deployed Spring Boot microservices with Docker, and designed AWS Lambda + SNS/SQS event-driven pipelines for real-time notification workflows. Built gRPC inter-service communication with secure S3-backed CRUD workflows, and delivered auth via WorkMail and Cognito with automated IAM authorization. Improved CI/CD reliability through deployment validation, debugging, and rollout-issue prevention.

Member at BigO RNSIT, May 2024 - Aug 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India

GDSC-RNSIT Lead at Google Developer Student Club RNSIT, Dec 2023 - Dec 2024 · 1 yr 1 mo, RNSIT, Bengaluru, Karnataka, India

Core Member at Google Developer Student Club RNSIT, Aug 2023 - Sep 2025 · 2 yrs 2 mos, Bangalore Urban, Karnataka, India

Education

Bachelor of Engineering, Computer Engineering, R.N.S Institute of Technology

High School, PCMCs, Arya Gurukul

Public links

github: https://github.com/payallenka

medium: https://medium.com/@payalm.lenka

leetcode: https://leetcode.com/payallenka

codeforces: https://codeforces.com/profile/payallenka

payallenka.vercel.app: https://payallenka.vercel.app/