Freelancers using Kafka in BengaluruFreelancers using Kafka in Bengaluru
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Aishwary Dhare's avatar
Aishwary Dhare
proBengaluru, India
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
    5.0
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    8
    Followers
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
Cover image for Global FinTech Development for MishiPay
Global FinTech Development for MishiPay
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14
Cover image for High-Performance Cryptocurrency Trading Engine Development
High-Performance Cryptocurrency Trading Engine Development
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12
Cover image for Migration of ETL Pipelines to Apache Airflow
Migration of ETL Pipelines to Apache Airflow
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18
Cover image for Development of PayLater & PayLater Business Apps
Development of PayLater & PayLater Business Apps
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24
Kafka(2)
Soumabha Roy Chaudhuri's avatar
Soumabha Roy Chaudhuri
Bengaluru, India
Fractional CTO | Software Architect | SaaS | AI Agents
Fractional CTO | Software Architect | SaaS | AI Agents
Cover image for 10x throughput · Kafka ·
10x throughput · Kafka · 13 social channels · built for viral-scale message bursts Redesigned an enterprise social platform's data layer into an event-driven architecture on Apache Kafka, ingesting and analysing real-time social data from 13 channels. Sized for viral-scale bursts of 250–1,000 messages/minute per customer, with hybrid delivery paths: streaming (~15–20s average latency) and polling (~2 min), with a worst-case 5-minute latency ceiling. Also set architecture standards across application, data, and AI, and rebuilt the React/TypeScript frontend for multilingual workspaces with automated WCAG 2.2 / ADA Section 508 accessibility checks. End-to-end throughput improved 10x. Confidential client engagement.
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25
Cover image for Cold start: 17 min →
Cold start: 17 min → under 3 min. Shard loading: 16 min → 50 sec. Serving cost: ~1/6 of a managed SageMaker equivalent. Performance-engineered a LLaVA vision-language deployment on AWS as part of a specialised strike team, with the full write-up published on LinkedIn (linked under Completed Work). Reduced end-to-end cold start from ~17 minutes to under 3 (66%) via custom Deep Learning AMIs (−32% immediately), ephemeral-storage model caching with parallel aria2c downloads (checkpoint loading 16 min → 50 sec), and 4-bit NF4 quantization (shard loading 41s → 18s). Along the way, diagnosed a storage-path bug where checkpoint shards kept re-downloading despite being baked into the AMI.
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50
Cover image for Cut shipping time 40% with
Cut shipping time 40% with a production multi-agent system built around governance, not demos. Confidential client engagement. Designed and deployed a multi-agent system covering the full product lifecycle: PRD generation → system design → multi-repo execution → code review → compliance/security checks → release management. Shipping velocity improved 40% across cross-functional teams. Built on a Backstage-based engineering knowledge base with MCP connectors to JIRA, GitHub, Slack, and Teams; LLM workloads on OpenAI and Anthropic via A2A-style agent orchestration, implemented in Python/Bash tooling. Shipped with an enterprise AI governance layer: hallucination detection with knowledge-base remediation, model drift monitoring, and audit logging for regulated environments.
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51
Cover image for 90M registered users · 17
90M registered users · 17 countries · 99.99% uptime · $451M disbursed via DBT Led Everwell Hub from a monolith to a horizontally scalable microservices platform (Java/Python, Docker/Kubernetes, GCP, CI/CD, IaC). As chief architect I personally designed the service decomposition; as CTO I led ~50 engineers plus system-integrator partners and the WHO/Ministry of Health partnership. Deployed across 17 countries and scaled India's national TB platform (Ni-kshay) to ~90M registered patients and staff, with 6 lakh+ direct users, at 99.99% uptime, sub-second P95 latency, and 2h RTO / 4h RPO disaster recovery. The payments module disbursed $451M through direct benefit transfers. Released the platform as MIT open source with full wiki, runbooks, and API contracts — adopted by partner health systems since.
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77
Kafka(1)
Sai Kumar Reddy N's avatar
Sai Kumar Reddy N
Bengaluru, India
Lead AI Engineer | LLM's & AI Agent Developer | LangChain
Lead AI Engineer | LLM's & AI Agent Developer | LangChain
Cover image for saikumar0605/aps-end-endproj
saikumar0605/aps-end-endproj
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8
Cover image for saikumar0605/Dask-ml
saikumar0605/Dask-ml
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8
Cover image for Computer-network-intrusion-detection
Computer-network-intrusion-detection
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10
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Kafka(1)
Aditya Panda's avatar
Aditya Panda
Bengaluru, India
Data Engineer & Consultant
Data Engineer & Consultant
Cover image for Implementing Real-time streaming pipeline
Implementing Real-time streaming pipeline
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11
Cover image for Built data pipelines on AWS cloud
Built data pipelines on AWS cloud
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10
Cover image for Data scrapped from 100+ APIs
Data scrapped from 100+ APIs
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7
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Kafka(1)
sandy dasari's avatar
sandy dasari
Bengaluru, India
Engineer skilled in scalable systems, blockchain, and AI bot
Engineer skilled in scalable systems, blockchain, and AI bot
Cover image for Real-Time Bidding Data Pipeline with Kafka
Real-Time Bidding Data Pipeline with Kafka
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6
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Data Scientist
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7
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Blockchain Project
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3
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Kafka(1)