Anurag Kumar

Founder

Bangalore Urban, Karnataka, India6 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • Architected high-scale distributed systems for AI workflows.
  • Engineered autonomous agents for complex market signal synthesis.
  • Scaled ingestion pipelines to handle 100,000+ resumes daily.
Stackforce AI infers this person is a Backend Engineer specializing in AI and Fintech solutions.

Contact

Skills

Core Skills

Backend DevelopmentArchitecting SystemsAi SystemsPayment SystemsLending SystemsContent Management Systems

Other Skills

AWSAWS CloudWatchAWS EventbridgeAWS LambdaAWS Step FunctionsAgentic AIAmazon S3Amazon SQSApache KafkaBack-End Web DevelopmentBootstrapCSSCeleryDatabasesDistributed Systems

About

Backend Engineer with 6+ years of experience architecting high-scale distributed systems and Agentic AI workflows. I specialize in building "zero-to-one" platforms using Python (FastAPI/Django), managing complex AWS infrastructure, and optimizing PostgreSQL for heavy write loads. Currently, I am deepening my expertise in Agentic AI by building Watchtower Intelligence, a technical sandbox where I engineer autonomous agents using LangGraph to synthesize complex market signals. This project keeps me hands-on with the latest patterns in high-concurrency architecture and LLM reasoning. Previously, as the Lead Engineer at Senseloaf.ai, I served as the sole backend owner, architecting an AI-native recruitment platform. I scaled the ingestion pipeline to handle 100,000+ resumes per day utilizing Celery and Redis, and integrated real-time video AI (LiveKit) for automated interviewing. Prior to that, I spent 3+ years at OTO (Fintech), where I architected a SOC2 compliant payment engine and built real-time analytics dashboards handling millions of transactions. I am a builder at heart who thrives in high-velocity environments. I am looking to join a strong engineering team where I can apply my experience in scalable microservices and AI to solve critical business problems.

Experience

6 yrs 5 mos
Total Experience
1 yr 6 mos
Average Tenure
3 mos
Current Experience

Decisionx ai

Founding Engineer

Jan 2026Present · 3 mos · Bengaluru, Karnataka, India · On-site

  • Mission: Building a category-defining Decision Intelligence platform. We are moving beyond simple LLM wrappers by leveraging a proprietary 12-layer ontology to provide true context-aware reasoning for the enterprise.
  • Core Team: Joining as a Founding Engineer to architect the foundational backend infrastructure and core reasoning engines.
  • The Problem: Solving the "context gap" in AI by building systems that don't just generate text, but understand complex enterprise logic and make autonomous, high-stakes decisions.
  • Engineering Ownership: Designing the high-scale, low-latency architecture using Python and FastAPI to support agentic AI workflows and complex data ontologies.
  • Scale: Defining the technical roadmap and engineering culture from the ground up to support massive data ingestion and real-time decisioning
PythonFastAPIAgentic AIDistributed SystemsBackend DevelopmentArchitecting Systems

Senseloaf ai

Lead Engineer

Mar 2025Dec 2025 · 9 mos · Bengaluru, Karnataka, India · Hybrid

  • Architected an AI-native recruitment platform, serving as the sole backend engineer responsible for system design, infrastructure, and scaling from the ground up.
  • Key Achievements: Scale: Engineered high-throughput ingestion pipelines handling 100,000+ resumes per day, utilizing FastAPI, Celery, and Redis for asynchronous processing.
  • Agentic AI: Developed autonomous agents using LangGraph for chat pre-screening and resume matching. Integrated LiveKit to power real-time AI-driven video interviews.
  • Infrastructure: Owned the complete AWS infrastructure (Docker, EC2/ECS). Built a centralized recruiter dashboard and orchestrated complex ATS integrations, ensuring zero downtime during high-load periods.
FastAPIDjango REST FrameworkMongoDBAWSLangGraphCelery+3

Oto

Senior Backend Developer

Oct 2021Mar 2025 · 3 yrs 5 mos · Bengaluru, Karnataka, India

  • Payment Micro-service:
  • Securing the payment system with encryption and authentication.
  • Optimized performance to handle concurrent transactions, deploying on AWS for scalability.
  • Monitored for errors, provided timely resolutions, and documented codebase for future reference.
  • Auto-dialer Micro-service:
  • Architecting and designing an automated dialing system.
  • Utilized pure Python for serverless execution on AWS Lambda.
  • Integrated with AWS EventBridge and Step Functions, achieving automation for increased efficiency.
  • E-commerce Microservice:
  • Architecting and building a scalable e-commerce platform.
  • Demonstrated leadership in decision-making, user journey API implementation, and internal dashboard development.
  • Achieved a Monthly Active Users (MAU) of 100,000, showcasing widespread adoption and success.
  • Website/App and Catalogue:
  • Spearheading the development of a cutting-edge platform.
  • Guided a team of 3 in crafting a seamless customer journey from home page to loan/e-commerce flows.
  • Optimized APIs for load time efficiency and managed complex catalogs and inventory systems.
  • Empowered internal teams and retailers with intuitive tools for efficient platform management.
  • In each role, my focus on innovation, security, and performance optimization has driven success. I thrive in collaborative environments, adapting to both small and large team dynamics. My expertise extends from Django, Flask, MongoDB, and PostgreSQL to AWS services, ensuring robust solutions across various technological landscapes.
AWSPythonAWS EventbridgeAWS LambdaAWS Step FunctionsDjango REST Framework+2

Onefin

Backend Developer

Oct 2020Oct 2021 · 1 yr

  • Lending Management System-
  • Crafted a comprehensive set of APIs that facilitated seamless customer onboarding and efficiently managed the end-to-end process, encompassing loan approvals, disbursements, and EMI (Equated Monthly Installments) handling.
  • Leveraged Django's capabilities to design a flexible and modular architecture that allowed for the efficient isolation of tenant-specific data and operations.
  • Utilized PostgreSQL for a robust and scalable database system, storing and retrieving data efficiently within the dynamic lending environment.
  • Leveraged AWS to bring the system to the cloud, ensuring high availability, reliability, and scalability.
  • Implemented Docker for containerization, streamlining deployment processes and enhancing the consistency of development across various environments.
  • Incorporated Redis for caching, boosting performance by storing frequently accessed data in-memory.
  • Orchestrated background tasks and distributed processing seamlessly with Celery, enhancing system efficiency and responsiveness.
PythonPostgreSQLDjango REST FrameworkBackend DevelopmentLending Systems

Lambdatest

Member Of Technical Staff

Jan 2020Jan 2020 · 0 mo

Embibe

2 roles

Software Engineer

Jan 2019Jan 2020 · 1 yr

  • Content Management System-
  • Developed APIs for creating tests, ensuring a user-friendly interface for test generation and management.
  • Successfully integrated third-party APIs to enhance efficiency management within the CMS, streamlining processes and optimizing workflows.
  • Leveraged Flask-Eve to establish connections with external services, contributing to a more comprehensive and feature-rich CMS.
  • Implemented a persistent data pipeline using Kafka, facilitating smooth and reliable communication between microservices.
  • Orchestrated the integration of Kafka to ensure real-time data synchronization, enhancing the overall responsiveness and effectiveness of the CMS.
  • Undertook the challenging task of migrating data from MySQL to MongoDB, showcasing proficiency in database management and ensuring a seamless transition without data loss.
  • Managed the intricacies of schema differences, optimizing data structures to align with the specific requirements of MongoDB.
  • Demonstrated advanced skills in Python, utilizing it as the primary programming language for backend development.
  • Leveraged Flask-Eve to expedite the development of RESTful APIs, ensuring a modular and extensible architecture.
  • Employed MongoDB for its flexibility and scalability in handling diverse types of content within the CMS.
  • Managed MySQL databases, showcasing versatility in working with relational databases.
  • Utilized Kafka for efficient event-driven communication, enhancing the system's responsiveness and reliability.
  • Collaborated closely with cross-functional teams to understand requirements and implement solutions that aligned with business objectives.
  • Contributed to a positive and collaborative work environment, fostering effective communication and teamwork.
REST APIsFlaskMySQLApache KafkaMongoDBBackend Development+1

Backend Intern

Jan 2018Jan 2019 · 1 yr

  • Built an automation service for ingestion of question from
  • .docx directly to the database.Data scrapping using python-selenium and producing required JSON according to the db-schema.

Reach technologies

Intern

Jan 2017Jan 2018 · 1 yr

  • Data scrapping from various sites and building interactive web page for consumption.
  • Built a webapp for their promotional campaign as part of their customer acquisition.

Voodoo

Intern

Jan 2016Jan 2017 · 1 yr

  • Winter Internship - data segregation, cleaning and uploading.
  • Built a interface web-app for the same.

Education

The National Institute Of Engineering, Mysore

Bachelor's degree — Computer Science

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