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AI engineer with four years of professional experience building autonomous agents, LLM applications, backend services, full-stack products, and regulated central-banking platforms. Develops Python-based agentic systems using LangGraph/LangChain, RAG, multi-agent orchestration, tool calling, and evaluation harnesses while applying LLMOps and foundational ML practices. Builds production APIs and services using Python/FastAPI and JavaScript/TypeScript, delivered via containerized CI/CD pipelines on Kubernetes and cloud platforms (AWS/GCP). Experienced in regulated financial-domain engineering, including fixed income, currencies, ledgers, settlements, liquidity, and risk monitoring.…AI engineer with four years of professional experience building autonomous agents, LLM applications, backend services, full-stack products, and regulated central-banking platforms. Develops Python-based agentic systems using LangGraph/LangChain, RAG, multi-agent orchestration, tool calling, and evaluation harnesses while applying LLMOps and foundational ML practices. Builds production APIs and services using Python/FastAPI and JavaScript/TypeScript, delivered via containerized CI/CD pipelines on Kubernetes and cloud platforms (AWS/GCP). Experienced in regulated financial-domain engineering, including fixed income, currencies, ledgers, settlements, liquidity, and risk monitoring.

AVINASH RAJ MALAKAJ

AI Engineer, Software Engineer, Full Stack Developer, +3

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AI engineer with four years of professional experience building autonomous agents, LLM applications, backend services, full-stack products, and regulated central-banking platforms. Develops Python-based agentic systems using LangGraph/LangChain, RAG, multi-agent orchestration, tool calling, and evaluation harnesses while applying LLMOps and foundational ML practices. Builds production APIs and services using Python/FastAPI and JavaScript/TypeScript, delivered via containerized CI/CD pipelines on Kubernetes and cloud platforms (AWS/GCP). Experienced in regulated financial-domain engineering, including fixed income, currencies, ledgers, settlements, liquidity, and risk monitoring.…AI engineer with four years of professional experience building autonomous agents, LLM applications, backend services, full-stack products, and regulated central-banking platforms. Develops Python-based agentic systems using LangGraph/LangChain, RAG, multi-agent orchestration, tool calling, and evaluation harnesses while applying LLMOps and foundational ML practices. Builds production APIs and services using Python/FastAPI and JavaScript/TypeScript, delivered via containerized CI/CD pipelines on Kubernetes and cloud platforms (AWS/GCP). Experienced in regulated financial-domain engineering, including fixed income, currencies, ledgers, settlements, liquidity, and risk monitoring.

Available to hire

AI engineer with four years of professional experience building autonomous agents, LLM applications, backend services, full-stack products, and regulated central-banking platforms. Develops Python-based agentic systems using LangGraph/LangChain, RAG, multi-agent orchestration, tool calling, and evaluation harnesses while applying LLMOps and foundational ML practices.

Builds production APIs and services using Python/FastAPI and JavaScript/TypeScript, delivered via containerized CI/CD pipelines on Kubernetes and cloud platforms (AWS/GCP). Experienced in regulated financial-domain engineering, including fixed income, currencies, ledgers, settlements, liquidity, and risk monitoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Intermediate

Work Experience

AI Engineer at SimpleCiti

April 1, 2025 - May 1, 2026

Built autonomous multi-agent workflows in Python and LangGraph to reduce routine human intervention by ~32 hours in 7 days. Redesigned agent-to-agent handoffs and explicit workflow-state transitions to eliminate 10+ coordination deadlocks and improve reliability of multi-step reasoning. Optimized agent routing and tool-selection logic to cut redundant tool calls by 60%, reduce runtime overhead, and lower end-to-end latency by ~20%. Re-engineered the runtime context pipeline to provide only task-relevant information, reducing token usage and model costs by 50%. Developed evaluation harnesses to separate retrieval failures from model-capability issues, translating insights into retrieval-architecture redesign for grounded and dependable agent responses. Created reusable agent-harness components for context assembly, tool execution, and state management, enabling 60+ agents to coordinate complex tasks with explicit execution state. Operationalized workflows using GCP and Google ADK and es

Software Engineer / Associate Consultant at Intellect Design Arena Ltd

August 1, 2022 - December 1, 2023

Enhanced a 15+ years long-horizon central-banking platform used internally by RBI and other central banks, supporting regulated delivery. Developed fixed-income, currency, and financial-instrument workflows, including interbank transactions, settlements, money orders, credit orders, and core ledger/transaction record management services. Implemented reserve, portfolio, and liquidity-management capabilities and asset-liability-management features exposing real-time cash-flow information to support liquidity and balance-sheet decisions. Integrated banking capabilities through microservices and REST APIs for multiple product components. Optimized SQL indexing, schemas, and garbage collection to reduce p99 application latency by 20%. Built and maintained CI/CD pipelines using Jenkins, Docker, Kubernetes, Helm, Git, and Bitbucket; supported compliant demonstrations and incremental production releases and documented work for regulated client delivery.

Python Developer at Skydrop Techpro Pvt Ltd

April 1, 2021 - July 1, 2022

Architected and delivered production RESTful APIs in Python (Django/Flask/FastAPI) from requirements through client release. Designed relational database integrations for consistent data access across client-facing and operational software. Built and supported client websites and external digital experiences, including 6 e-commerce storefronts connecting product, checkout, and operational workflows. Integrated CRM platforms with 12+ applications and created 35+ dashboards and real-time reporting capabilities. Automated cross-system workflows through API integrations, reducing manual handoffs between client applications. Implemented secure payment-gateway integrations enabling online payments under 800 ms through integrated transaction flows. Delivered inventory-management software connecting product and operational data. Tutored 4 bootcamp participants and conducted technical reviews while delivering client work.