Senior Python & Golang Backend Engineer & AI Automation

Aakash Desale

Pune, India

# ******.********@*****.*** +91-992*******

ï linkedin.com/in/aakashdesale98/ § github.com/akashdesale98 Summary

Senior Software Engineer with 7+ years of experience providing technical leadership and absolute end-to- end ownership of entire services from initial design to production release. Expert in Golang, Python, JavaScript, Java, and AWS, with deep data-tier proficiency across SQL, NoSQL, Graph, and Vector databases. Proven track record of scaling low-latency APIs and event-driven pipelines while driving develop- ment velocity through Agentic AI automation.

Key Technologies

Languages: Go (Golang), Python, JavaScript, Java

Backend & Architecture: Microservices, Distributed Systems, Node.js, React.js, Vue.js, Performance Op- timization, HLD, LLD, Database Schema Design, Spring Boot Cloud/DevOps: AWS (ECS, SQS, Lambda, S3), Kubernetes, Azure, Docker, Terraform, CI/CD, Jenkins Data & Streaming: Apache Kafka, Confluent Sink Connectors, Kafka, gRPC, PostgreSQL, DynamoDB, MongoDB, Oracle SQL, Degraph, Q-Drant, MSSQL, Kibana, ELK, Prometheus, Grafana AI Engineering: Agentic AI, MCP, LLM Orchestration, RAG, LangChain, Langflow, Multi-Provider LLM Integration (Anthropic, OpenAI, Ollama)

Work Experience

NTT Data (Client: Mastercard) Pune, India

Senior Software Engineer June 2024 - Present

• MKE Migration: Architected and led the transition of legacy services from Vocalink’s Azure stack to Mastercard Kubernetes Environment (MKE), driving down operational costs.

• API Modernization: Analyzed and designed a migration framework to transition enterprise customers from legacy file-based solutions to real-time, high-concurrency API integrations.

• Model Server Optimization: Re-engineered a core model server using highly efficient concurrency pat- terns, boosting throughput by +20 RPS and slashing memory and CPU footprint by 50% and 20%, respectively.

• Multi-Model CFR Platform: Designed and integrated multi-model orchestration support into the Con- sumer Fraud Risk engine to run diverse live risk-scoring models without system downtime.

• Stream Engineering: Developed the Magic Bytes Injector service to handle high-throughput streaming and complex binary-to-object data mappings from Confluent Kafka Sink Connectors.

• Transaction Dedupe: Designed a kafka-based transaction deduplication service handling 320M+ trans- action/month (1500+ TPS Peak), leveraging Redis Bloom Filters to achieve 20K+ checks/sec with near zero false positives and efficient memory utilisation

• Distributed Analytics: Engineered a financial reporting platform utilizing Mule Insights Tactical Solution and resolved complex, cross-site data inconsistency bugs across global servers.

• Agentic AI & Observability Engineering: Automated critical DevEx and software quality processes by building a suite of Agentic AI solutions (Vulnerability-Fix, PR-Review, DevOps, and Release Notes agents) using LLM orchestration and RAG. Built a custom Kibana Linter to automatically catch log schema and datatype inconsistencies, maintaining strict index data integrity across distributed ELK clusters. Eliminated 40% redundancy from overall sprint tasks

TekSystems (Client: CISCO) Bangalore, India

Senior Software Engineer November 2023 - June 2024

• Cloud Infrastructure & CI/CD Migration: Contributed to the ingestion and install-based enrichment of the CISCO Datalake by migrating AWS CloudFormation (CFN) templates to Terraform and transitioning Golang application repositories from CircleCI to GitHub Actions and CDRO. Upgraded enrichment services to AWS SDK v2, ensured FedRAMP compliance for IBES infrastructure in GovCloud, and remediated critical Wiz scan vulnerabilities.

• QA Automation Framework: Architected and engineered a comprehensive QA automation framework from scratch to validate data ingestion and pipeline stability across the CISCO Datalake ecosystem. Tazapay Bangalore, India

Software Engineer January 2022 - October 2023

• RBAC & Custom Rule Engine: Orchestrated a Role-Based Access Control system for a cross-border payment marketplace. Pioneered a high-performance Rule Engine (averaging 10 ms decision latency) to evaluate complex facts, eliminating convoluted conditional logic and bolstering system flexibility.

• Payment Router Microservice: Core contributor to the transaction payment router, successfully migrat- ing it to a standalone microservice with 94% unit test coverage and optimizing dynamic payment method generation to an average of 300 ms.

• Fraud Detection System: Engineered an advanced risk-assessment system to validate ongoing buyer be- havior by integrating time-series databases, the custom internal rule engine, and seamless Forter integration.

• gRPC Infrastructure & Migration: Partnered with infrastructure teams to prototype and build an internal gRPC framework, which now serves as the primary foundation for the organization’s monolith-to- microservices migration strategy.

• Production Support & Mentorship: Proficiently resolved a critical production escalation pertaining to international cross-border payments, while concurrently spearheading new feature development and mentor- ing junior engineers.

VP Mart Pvt. Ltd. Bangalore, India

Tech Head (Co-Founder) April 2021 - January 2022

• E-Commerce Platform Lifecycle: Directed the end-to-end product development lifecycle—from project management to deployment—operationalizing a platform designed to bridge the gap between highly frag- mented retailers and consumers.

• Core Services Engineering: Architected and developed critical backend infrastructure, including com- prehensive order management systems, automated notifications, and secure payment processing gateways. MKCL Pune, India

Software Engineer July 2019 - March 2021

• Low-Code Platform Innovation: Spearheaded the architecture and creation of a low-code development platform proficient in dynamically generating REST APIs utilizing GoLang, accelerating software delivery timelines.

• UI/UX & Reporting Engines: Devised intuitive, drag-and-drop engines for crafting Vue.js web pages and integrated PHP-KoolReport to generate complex data analytics reports.

• Build Optimization (POCs): Prototyped and executed a Single File Component Proof of Concept (POC) using Rollup.js and Vue.js, successfully minimizing the overall production build size of the enterprise web application.

Open Source Contributions

Setuq - Splunk Autonomous SOC Agent June 2026

• Engineered a multi-stage agentic AI pipeline (plan SPL guardrail execute analyze decide) in Python/FastAPI with multi-provider LLM support (Anthropic, OpenAI, Ollama), retry harness, and circuit-breaker fault tolerance.

• Implemented real-time SSE streaming, Splunk query guardrails, memory management, and live schema discovery; reduced duplicate query load via SHA-256 idempotency cache. Education

Government College of Engineering & Research, Pune Jul 2015 – May 2019 B.E. in Computer Science & Engineering Pune, India — CGPA: 7.80

• Research-based implementation of an Automatic Text Summarization system leveraging Natural Language Processing (NLP) techniques to compress dense textual data into concise, context-preserving summaries. Certifications

• Introduction to Machine Learning, IIT KGP — Feature Engineering, Supervised/Unsupervised Learn- ing Algorithms, 2018

• Mastering Concurrency in Go - Educative.io - 2019 Achievements

• Consecutive Executive Commendations (2024–2026): Honored with MasterCard’s Client Cham- pion and Making a Difference awards from VPs and Directors, celebrating continuous high-impact per- formance, extreme project ownership, and vital technical contributions consecutively for two years.

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