Sfoglia categorie
Esplora
Fiverr Pro
Italiano
$
USD
Balakumar R
@balakumarr15
Senior Backend and AI Engineer in Go, Python, MultiAgent AI and Systems
India
Inglese, Tamil
Chi sono
Backend & AI Engineer with 3+ years of experience building scalable microservices, event-driven systems, and agentic AI pipelines.Key Expertise:
• AI & LLMs: Multi-agent orchestration (Google ADK), RAG pipelines, LLM code generation.
• Backend & APIs: Golang, Python (FastAPI), Java (Spring Boot), REST APIs.
• Architecture & Data: Kafka, Redis, WebRTC, Docker, AWS, MySQL, MongoDB.I deliver high-performance backend infrastructure and production-ready AI solutions optimized for low latency.
Competenze
Balakumar R
offline •
Consulta i miei servizi
Implementazione e distribuzione dell'IA
I will build custom multi agent ai pipelines, rag systems, and llm workflows
API e integrazioni
I will build develop or debug golang backend rest api
Portfolio
Esperienza lavorativa
Software Engineer 1
Ramco Systems • Full time
May 2025 - Present • 1 yr 4 mos
• LLM-Driven Code Generation Pipeline: Built an LLM multi-agent pipeline that converts functional- consultant payroll rule specifications (English) into production pandas code—310 rules, 110K LOC, 35 HR entities—cutting per-rule authoring from 45 mins to 2 mins (96% acceleration). • Deterministic Orchestration & Quality Automation: Architected a deterministic orchestration workflow with validator subagent enforcing 38 mandatory payroll calculation standards, achieving 90% first-pass correctness and eliminating manual code review; designed agent memory layer that reduced repeat defects by 95% across generation runs. • Critical-Path Performance Optimization: Cut combined payroll execution runtime on 5K transactions from 73 min to 9 min (88% reduction) by replacing quadratic per-row scans with pre-built indexed lookups; verified output unchanged via automated byte-level diffing.
Software Engineer 1
Tekion • Full time
Jan 2023 - May 2025 • 2 yrs 4 mos
• Scalability Optimization: Decoupled the User Preference system from the core Users collection, migrating 300K+ records to a dedicated microservice structure; optimized API query performance, significantly reducing latency for high-traffic endpoints. • Voice Integration System: Designed and implemented a fault-tolerant Twilio-based voice integration for CRM platforms; built failure recovery mechanisms that reduced ticket resolution time by 25% and increased CSAT by 15%. • Event-Driven Features: Developed scalable backend features (Comments Dashboard, Note Versioning) using Kafka event streaming to offload synchronous API demand, improving service latency by 30%. • Developed a live user tracking system using Pusher websockets and managed CI/CD pipelines via Jenkins to optimize real-time agent allocation and deployment cycles.
