AI / GenAI
Field Sales AI Assistant
Self-service AI app with retrieval, validation, secure execution, logging, and a React workflow for field teams.
15s -> 2s response timePythonFastAPIReactpgvectorCouchbase
5+ years - building scalable systems
Venkata Dasari builds Applied AI, Backend & Data Systems.
Full-stack software engineer focused on production AI workflows, reliable APIs, and cloud data platforms for enterprise teams.
AI / GenAIFull StackData EngineeringCloudSystem Design
Let's build better systems together.
5+Years Experience
25K+Enterprise Users
220M+Records / Day
80%Manual Work Reduced
20+Technologies
Hiring Snapshot
5+ years building applied AI, backend, full-stack, and cloud data systems with production impact.
25K+ enterprise users220M+ records/day80% manual work reduced
PythonFastAPIReactDatabricksKafkaCouchbase
Featured Case Studies
Real problems. Scalable solutions. Measurable impact.
Data Engineering
Retail Data Platform
ADF, Databricks, PySpark, Delta Lake, and Couchbase workflows for retail execution and operational analytics.
220M+ records/dayADFDatabricksPySparkDelta Lake
Automation
Kafka DLQ Healing Agent
Agent that detects malformed events, repairs payloads, and republishes messages across high-throughput streams.
80% less manual workPythonKafkaDockerMonitoring
Applied AI
Enterprise Research Assistant
Full-stack research workflow using React, FastAPI, LangChain, Vertex AI, and source-backed vector retrieval.
50% faster retrievalReactFastAPILangChainVertex AI
Architecture Gallery
System designs, pipelines, and architecture deep dives.
React UIFastAPIRetrieverLLMCouchbase
AI Assistant Architecture
DocsChunkingEmbeddingsVector DBAnswer
RAG Pipeline
ProducerKafkaDLQHealing AgentReplay
Kafka Event Flow
ADFDatabricksDelta LakeQualityCouchbase
Data Lake Pipeline
GatewayAuthServicesCacheDB
Microservices Architecture
UserSSOJWTRBACAPI
Authentication Flow
What I Love Building
Focused areas where product value and engineering depth meet.
AI Agents & RAG Systems
Distributed Event Systems
Data Pipelines
Developer Tools
Cloud Native Apps
Real-world Problem Solvers
Tech Stack
Tools I use to ship practical AI, backend, and data systems.
01
Core implementation
Languages
PythonPythonJavaTypeScriptJavaScriptSQL
02
Production services
Backend & APIs
FastAPIFastAPISpring BootNode.jsREST APIsMicroservices
03
User-facing workflows
Frontend
ReactReactNext.jsHTMLCSSTailwind
04
RAG and assistant systems
AI & Retrieval
LangChainLangChainRAGVertex AIAzure OpenAIpgvector
05
High-volume pipelines
Data & Streaming
DatabricksDatabricksPySparkKafkaDelta LakeADF
06
Reliable data platforms
Cloud & Databases
AzureAzureGCPAWSCouchbasePostgreSQL
My Professional Journey
A timeline of learning, building, and creating impact.
Applied AI, backend, and retail data platforms25K+ users
- Shipped field-sales AI workflows used by 25K+ delivery and merchandising users to answer operational questions faster.
- Built backend and data services over 220M+ retail records using ADF, Databricks, Delta Lake, and Couchbase.
- Cut AI support tickets by 40% by adding request validation, execution logging, monitoring, and failure diagnostics.
PythonFastAPIReactDatabricksCouchbase
Enterprise AI research workflows and pricing pipelines50% faster retrieval
- Developed an annuity research platform with React, FastAPI, LangChain, Vertex AI, and vector retrieval.
- Engineered pricing pipelines that processed 26M+ GTIN records daily for store-price updates across 260K stores.
- Improved enterprise research retrieval speed by 50% through API tuning, source-backed search, and workflow redesign.
ReactFastAPILangChainVertex AIPySpark
Reusable UI systems and delivery improvementsReusable UI
- Built reusable React component patterns that improved consistency across customer-facing application screens.
- Integrated frontend workflows with API contracts and validation states to reduce UI defects before release.
- Improved delivery speed by turning repeated interface work into reusable, tested building blocks.
ReactJavaScriptAPIsTesting
Distributed systems teaching and student support120 students
- Supported 120 graduate students in CSE 5306 Distributed Systems across assignments, labs, and project reviews.
- Guided students through Python, Java, concurrency, distributed-system concepts, and implementation debugging.
- Created clear technical explanations and documentation to help students turn theory into working systems.
PythonJavaDistributed SystemsDocumentation
Payroll automation, ML APIs, and workflow platforms50+ countries
- Automated payroll compliance workflows across 50+ countries, reducing repetitive manual operations for HR teams.
- Built ML prediction APIs with Redis caching and generated REST endpoints to improve repeated-request performance.
- Developed workflow APIs for timesheet, travel, and leave automation across enterprise HR modules.
JavaSpringREST APIsRedisSQL
Recommendations
What colleagues and leaders have shared about working with me.
“Ashok is very curious to learn new things, goes beyond work, and reads a lot trying to improve every day. He picked up a bleeding-edge stack in no time and was always dedicated, passionate, and great to work with.”
“Ashok is a quick learner, able to comprehend new technology and build solutions. His commitment to meet tight schedules is well appreciated, and he can be a great asset to any team.”
“Ashok excels in every project he tackles. With smart work and strong technical skills, he consistently finds optimal solutions to complex problems and is always willing to help teammates.”
Latest From LinkedIn
Selected posts and updates from my professional feed.
About Me
I build production software where AI, backend systems, and data platforms meet real business workflows. I care about shipping tools that are reliable, explainable, and useful enough for teams to use every day.
Production AIReliable APIsScalable DataBusiness Impact
Looking for engineering roles where product impact matters.
Open to applied AI, backend, full-stack, and data engineering roles where I can build dependable systems for real users.
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