Memory for AI agents
Helping agents remember what a conversation is about: what was asked, what was said and what was agreed. Follow-ups like "the second one" just work, and agents can pick up where they left off.
NowSenior AI Engineer at Javis Technologies
I build AI agents that remember what you meant.
Hi, I'm Jatin, a Senior AI Engineer at Javis. I build AI agents that can follow long conversations, keep track of what's been agreed, and make sound decisions in real business workflows.
Bangalore, INB.Tech CSE · IIT Delhi
Jatin Goyal
Senior AI Engineer · Javis
01 / Now · Javis Technologies
Building AI agents for real business work
Since November 2025 I've been a Senior AI Engineer at Javis in Bangalore, working on the core of its agentic AI platform.
Conversations across chat and email
Extending that memory to long email threads with several people, so an agent keeps track of who said what and who committed to what.
Agents that make reliable decisions
Building blocks that let agents negotiate and schedule in business workflows, making consistent, explainable decisions rather than leaving everything to a language model.
Earlier at Javis
Voice AI agent
Built a real-time voice agent that answered live customer calls in English and Hindi, along with the phone system that connects callers to it.
02 / Experience
Where I've worked
Nov 2025 — Present
Senior AI Engineer
Javis Technologies · Bangalore, IN
Building AI agents that remember conversations and make reliable decisions in business workflows. Earlier, a real-time voice agent for customer calls.
↑ See the work aboveJul 2022 — Nov 2025
Software Engineer → Senior Software Engineer
Enphase Energy · Bangalore, IN
- Designed and built a Translation Management System that centrally manages i18n across a suite of microservices and microfrontends and delivers translations to services dynamically. PMs could update app text directly, with no code changes.
- Improved search on the core Data entity by 95% with a denormalized Elasticsearch index that resolved data fragmentation across RDS and MongoDB, kept in sync in real time with Kafka and Logstash.
Ruby on RailsElasticsearchKafkaLogstashMongoDBRDSJul 2018 — Apr 2022
B.Tech, Computer Science & Engineering
Indian Institute of Technology, Delhi · New Delhi, IN
03 / Side projects
Things I built on my own
Solo startup · shut downShortsKing
archive.orgA fully automated platform for making short videos from minimal input: a title, a visual style and a voice. It organically attracted over 1,000 real users.
I ran the whole lifecycle on my own: design, frontend and backend, deployment, integrations and marketing. Content generation used open-source LLMs and ffmpeg.
Ruby on RailsOpen-source LLMsffmpeg
Open source
Ruby on Rails
Corrected the default configs for new Rails apps generated with the rails CLI.
04 / Toolbox
What I work with
Agents & LLM systems
AI agentsLLM tool-callinggRPC / ProtobufDynamoDB
Voice & real-time
LiveKitWebRTCSIPFreeSWITCHOpenSIPS
Languages
PythonRubyJavaJavaScriptC++SQLKQLHTMLCSS
Frameworks & tools
FastAPIRuby on RailsSpring BootAirflowKafkaRedisDockerELK Stack
AWS
S3SQSMSKCloudWatchCloudFrontECR
Cloudflare
DNSWorkers AIR2CDN
05 / Contact
Let's talk.
Want to talk about AI agents or anything else? Get in touch.