A

Aditya Jha

Product Engineer

Bengaluru, Karnataka, India4 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Reduced AI operational costs by 35% through strategic migration.
  • Architected scalable microservices enhancing billing efficiency.
  • Boosted microservice test coverage from 9% to 45%.
Stackforce AI infers this person is a skilled engineer in AI and Cloud Computing with a focus on scalable solutions.

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Skills

Core Skills

Cloud ComputingMicroservicesArtificial IntelligenceData EngineeringSoftware DevelopmentMachine LearningQuality Assurance

Other Skills

AWSAngularJSArtificial Intelligence (AI)BootstrapBullMQCascading Style Sheets (CSS)Computer VisionData AnalysisData AnalyticsData MiningData VisualizationDeep LearningDockerElasticSearchEnglish

Experience

4 yrs 5 mos
Total Experience
11 mos
Average Tenure
1 yr 11 mos
Current Experience

Superkalam (yc w23)

Product Engineer

Jul 2024Present · 1 yr 11 mos

  • ◦ Architected and implemented a scalable billing microservice, processing Razorpay webhooks and dynamically generating/distributing PDF invoices via Typescript, AWS and BullMQ, enhancing real-time billing
  • visibility for users and reducing manual billing efforts by 90%.
  • ◦ Developed and integrated agentic workflows into an AI chat assistant using LangChain, Gemini ground-
  • ing, Qdrant, enabling real-time internet search, custom RAG document retrieval, and dynamic image search.
  • ◦ Implemented Role-Based Access Control (RBAC) rate limiting for AI Chat functionalities
  • ◦ Enhanced search infrastructure performance by refining ElasticSearch indexing and Qdrant embedding creation, improving search relevance by 20% and facilitated the rollout of new filtering functionalities.
TypescriptAWSBullMQLangChainGemini groundingQdrant+3

Truefoundry

2 roles

Solutions Engineer

Promoted

Jul 2023Feb 2024 · 7 mos · Remote

  • ◦ Developed and integrated agentic workflows into an AI chat assistant using LangChain, Gemini grounding, Qdrant, enabling real-time internet search, custom RAG document retrieval, and dynamic image search - along with implementing tier-based usage limits for free and pro
  • ◦ Reduced AI operational expenditures by 35% by leading the strategic migration from OpenAI GPT
  • models to the Google Vertex AI Gemini LLM family.
  • ◦ Enhanced search infrastructure performance by refining ElasticSearch indexing and Qdrant embedding creation, improving search relevance by 20% and facilitated the rollout of new filtering functionalities
  • ◦ Migrated the complete AWS stack from an old account to a new one—setting up new IAM roles,
  • VPCs, and migrating S3 buckets, EC2 instances, ECS clusters, RDS databases, CloudFront distributions,
  • ElastiCache clusters, and Lambda functions with zero downtime.
  • ◦ Architected and implemented a scalable billing microservice, processing Razorpay webhooks and dynamically generating/distributing PDF invoices via Typescript, AWS and Kafka3, enhancing real-time billing visibility for users and reducing manual billing efforts by 90%.
  • ◦ Strengthened payment microservice fault tolerance, reducing payment processing errors by 40%
  • through transactional operations and idempotency controls; established proactive Grafana failure alerting, decreasing incident response time by 25%
LangChainGemini groundingQdrantElasticSearchAWSKafka+2

Machine Learning

Oct 2022Jun 2023 · 8 mos · Remote

  • ◦ Implemented persistent APT package installation for deployed Jupyter notebooks by dynamically ex-
  • tending Docker base images, updating deployment orchestration logic across mutliple microservices using
  • Golang, Python, TypeScript, Docker, and Helm charts.
  • ◦ Wrote and maintained custom Docker images with different configurations used by users to spin up
  • jupyter notebook deployments
  • ◦ Extended the Python CLI using Click to achieve feature parity with the SDK.
  • ◦ Integrated and documented a Golang testing framework, significantly boosting microservice test cov-
  • erage from 9% to 45%, and authored testing standards for future contributors.
  • ◦ Updated and maintained SDK/CLI documentation and release changelogs to support new feature rollouts.
GolangPythonTypeScriptDockerHelmSoftware Development+1

Google

Google CrowdSource ExploreML Facilitator

Oct 2021Oct 2022 · 1 yr

Aicrowd

Machine Learning Intern

Oct 2021Feb 2022 · 4 mos

Developer student clubs

Google Developer Student Club Lead

Jul 2021Jul 2022 · 1 yr · Delhi, India

Cloudyml

Data Science Intern

Jul 2021Oct 2021 · 3 mos · Delhi, India

Education

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor of Technology - BTech — computer science

Jan 2019Jan 2023

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