Anant Mishra

Co-Founder

Bengaluru, Karnataka, India8 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building cloud-native systems with Golang.
Led initiatives for real-time Kubernetes observability.
Reduced payment processing times from days to minutes.

Stackforce AI infers this person is a Backend Engineer specializing in cloud infrastructure and AI-driven solutions.

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Skills

Core Skills

PythonGo (programming Language)GolangKubernetesArtificial Intelligence (ai)

Other Skills

API DevelopmentAmazon Web Services (AWS)Apache KafkaApache PulsarApache SparkApache ZooKeeperContinuous Integration and Continuous Delivery (CI/CD)Database Management System (DBMS)DevOpsDockerGigsGitGoogle Cloud Platform (GCP)GraphQLInternet of Things (IoT)

About

🚀 Senior Engineer | Backend & Cloud Infrastructure | Golang, Kubernetes, gRPC I specialize in building and optimizing cloud-native systems, focusing on performance, security, and scalability. My expertise spans multi-cloud architectures, authentication frameworks, observability solutions, and distributed messaging systems. At ManifestIT, I led initiatives such as real-time Kubernetes observability using OpenTelemetry & Apache Pulsar, redesigned log injection architectures for efficiency, and developed secure enterprise authentication with Keycloak and Casbin. Previously, as a Founding Engineer at Hillside Labs, I built Chet, a high-performance command execution profiler leveraging SQLite for workflow analytics, and Specter AI, an API optimization assistant that streamlines API selection. At Razorpay, I played a key role in scaling payment infrastructure, automating merchant onboarding to reduce onboarding time by 20%, and redesigning microservices architecture with Golang & Twirp, improving system scalability and reducing latency. I also optimized real-time payment settlements, cutting processing times from 2-3 days to under 30 minutes. I thrive in fast-paced environments, solving complex technical challenges while aligning engineering decisions with business needs. Always open to discussing scalable architectures, performance optimizations, and system reliability. 🔗 Let’s connect!

Experience

8 yrs 3 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 2 mos

Current Experience

Outlier

Freelance Software Engineer

Apr 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Remote

Working across various Software Engineering projects from various clients ranging from Golang to Python projects.

GigsLarge Language Models (LLM)Artificial Intelligence (AI)RLHFPythonGo (Programming Language)+4

Manifestit

Senior Engineer - Founding Team

May 2024 – Mar 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

Senior Software Engineer at a stealth-mode enterprise technology company. Working on cutting-edge cloud infrastructure solutions that enhance operational efficiency and system reliability.
My current focus includes:
Developing cloud-native tools and frameworks
Creating secure authentication and access control systems
Building observability and monitoring solutions
Architecting and implementing scalable systems design
Streamlining data management and integration workflows
I specialize in developing robust, secure infrastructure solutions across multi-cloud environments. My work bridges technical complexity with business needs, always prioritizing security, scalability, and operational excellence.

GolangNeo4jDockerKubernetesAmazon Web Services (AWS)DevOps+16

Hillside labs

Founding Engineer

Nov 2023 – Mar 2024 · 4 mos · United States · Remote

https://github.com/hillsidelabs
As one of the first engineers at Hillside Labs, I led the development of several key products:
Chet: Developed an innovative performance measurement tool that analyzes command execution times. Users simply prefix commands with 'chet' to gain valuable insights into command duration, OS details, Git repository information, and containerized execution status. Built with an SQLite database backend to store and analyze performance metrics, helping developers optimize workflow efficiency.
Specter AI: Architected an AI-powered assistant that identifies optimal and bottleneck APIs from OpenAPI/Swagger specifications. Tailored recommendations based on business size, potential use cases, and target demographics, enabling teams to make informed API selections for enhanced system performance and scalability.
UserUp: Engineered a comprehensive user management API with robust features including user CRUD operations, event tracking, email invitations, and preference settings. Implemented dual interfaces (gRPC and RESTful) to ensure seamless integration across various client applications.

GolangTypeScriptPostgreSQLPythonArtificial Intelligence (AI)Large Language Models (LLM)+5