Alok Ranjan

Senior Software Engineer

Bangalore Urban, Karnataka, India6 yrs 10 mos experience

Key Highlights

  • Reduced compute costs by 37% in cloud-native platforms.
  • Engineered real-time ingestion pipeline for 100K+ events daily.
  • Optimized data lake architecture, saving $500K annually.
Stackforce AI infers this person is a Backend-heavy Software Engineer specializing in SaaS and Fintech solutions.

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Skills

Core Skills

Cloud InfrastructureBackend EngineeringData InfrastructureMachine Learning

Other Skills

A/B TestingAgile MethodologiesAirbyteAirflowAlgorithmsApache KafkaApplied Machine LearningCC++CeleryConcurrent ProgrammingData AnalysisData ScienceData StructuresDeep Learning

About

I am a Senior Software Engineer with 7+ years of experience in backend engineering, large-scale distributed systems, data infrastructure, and ML pipelines. I specialize in building cloud-native platforms that are cost-efficient, reliable, and highly scalable—demonstrated by reducing compute costs by 37%, cutting ETL runtimes by 30%, and scaling concurrency 2× in production systems. Currently at Inspectorio, I design and implement event-driven architectures for supply-chain management platforms, improving scalability and responsiveness. At Thrasio, I re-architected a high-volume data lake ingesting 2+ TB monthly, eliminating redundant ETL stages and migrating workflows to Airflow on Kubernetes eventuality leading up to a cost savings of 500k$ anually. I also optimized Django microservices for Amazon Seller & Ads APIs, doubling throughput with gevent-based Celery workers and reducing pipeline runtimes via asyncio-based optimizations. At Level AI, I engineered a real-time ingestion pipeline processing over 100K+ Slack events per day, built a distributed secret store using HashiCorp Vault, and delivered compliance-ready retention systems. At Bright Money, I combined ML and systems engineering to design Spark- and Airflow-based pipelines for fund movement optimization and deploy quantile regression models for financial predictions. At Agility, I deployed NLP and computer vision solutions, including dual-attention transformer models for customs risk detection and multilingual text recognition using BERT variants. My core expertise includes Python, Go, SQL, Spark, Snowflake, Airflow, Kubernetes, Docker, Terraform, AWS, GCP, Kafka, RabbitMQ, and PyTorch. I thrive at the intersection of distributed systems, cloud infrastructure, and applied ML, consistently delivering systems that are production-grade, cost-optimized, and designed to scale.

Experience

Inspectorio

Senior Software Engineer

Mar 2025Aug 2025 · 5 mos · Remote

event-driven architecturescloud-native platformscloud infrastructurebackend engineering

Thrasio

Senior Software Engineer

Oct 2023Feb 2025 · 1 yr 4 mos · India

data lake architectureAirflowKubernetesDjangoCeleryasyncio+2

Level ai

Senior Software Engineer

Aug 2022Aug 2023 · 1 yr · India

real-time ingestion pipelinedistributed secret storecompliance-ready systemsdata infrastructurebackend engineering

Bright money

Senior Machine Learning Engineer

Nov 2020Aug 2022 · 1 yr 9 mos · Bangalore Urban, Karnataka, India

ML pipelinesSparkAirflowmachine learningdata infrastructure

Agility

Software Engineer

Jul 2018Nov 2020 · 2 yrs 4 mos · Hyderabad Area, India

NLP solutionscomputer visiontransformer modelsmachine learningdata infrastructure

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology (B.Tech.)

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