jami@portfolio — zsh
jami@portfolio:~$ whoami
Mohd Jami
jami@portfolio:~$ cat role.txt
>
jami@portfolio:~$ ./current-focus
AI AgentsSales AutomationVoice AIRAG Systems
Projects.app
Folders
Voice Agents
90% reduction in manual analysis time
Sales Intelligence
Automated research & enrichment
Talent Screening
AI-powered candidate evaluation
Experience.log
Atlan|Software Engineer Intern
May 2025 – Present • Remote, USA
→Built 20+ production AI agents including Voice Agents (ElevenLabs) for call insights, reducing analysis time by 90%
→Automated deck creation from 8 hours to 20 minutes through coordinated multi-agent workflows
→Developed AI Sales Intelligence Suite with deep customer research agents, automated outreach hook generation, and full email/LinkedIn sequencing campaigns
→Built autonomous content aggregation pipeline collecting from 40+ daily sources (newsletters, Reddit, Substack, blogs) and generating podcasts via ElevenLabs
→Engineered 15+ specialized AI agents with web crawling, tool-calling, and multi-source integration for B2B sales/marketing automation
→Created AI talent screening agent with Context Engineering, reducing manual review time by 75% across 60,000+ applications
LangGraphRAGFastAPIPineconeElevenLabsOpenAIContext Engineering
EzAIx|Software Engineer Intern
Mar 2025 – May 2025 • Remote, USA
→Architected AI CFO system with multi-agent orchestration (LangChain/LangGraph, Azure OpenAI), reducing analysis time by 55% and improving accuracy by 40%
→Built NLP financial interface with RAG for WhatsApp achieving 85% accuracy on QuickBooks queries
→Developed MCP server integrating 15+ QBO APIs for real-time financial data access
→Engineered scalable backend with 40+ RESTful APIs using Django, Azure Functions, CosmosDB, and Redis
LangChainLangGraphAzure OpenAIDjangoCosmosDBRedisWhatsApp API
Tunable Labs|Software Engineer Intern
Jan 2025 – Feb 2025 • Remote, USA
→Architected multi-modal, multi-agent AI system for legal document processing with 85% accuracy across 1,000+ documents
→Engineered RAG system using Pinecone with HNSW indexing, reducing semantic search latency by 40% across 10,000+ legal clauses
→Deployed production environment with LangChain agent coordination, FastAPI backend, and streaming Next.js frontend on AWS ECS
LlamaIndexLlamaParsePineconeWeaviateFastAPIAWS ECSLangChain
KoinX|Software Engineer Intern - Backend
Oct 2024 – Jan 2025 • Remote, India
→Implemented Repository Pattern for 40+ MongoDB models across 4 distributed, event-driven microservices, reducing code duplication by 60%
→Refactored cryptocurrency tax calculation services and developed scalable wallet-wise P&L tracking with unit tests
→Created Grafana dashboards using PromQL for 9 microservices tracking latency, errors and throughput, enabling 60% faster incident response
Node.jsMongoDBMicroservicesGrafanaPromQLAWSEvent-Driven Architecture
skills.json
{
"Programming Languages": [
"Python", "TypeScript", "JavaScript", "Golang", "Java", "C/C++", "Kotlin"
],"AI/ML Technologies": [
"LLMs", "RAG", "NLP", "Semantic Search", "LangChain", "LangGraph", "Autogen", "CrewAI", "Pinecone", "Jina AI", "Gemini", "GROQ", "OpenAI", "LlamaIndex"
],"Backend & Cloud": [
"MongoDB", "PostgreSQL", "Supabase", "DynamoDB", "FastAPI", "Express", "Next.js", "Django", "AWS", "Azure", "Docker", "Kubernetes"
],"Tools & DevOps": [
"CI/CD", "Microservices", "ArgoCD", "Grafana", "Prometheus", "OpenTelemetry"
],"Concepts": [
"Multi-Agent Systems", "Distributed Systems", "Vector Search", "MCP", "Event-Driven Architecture", "OAuth2", "REST APIs", "Async Processing"
]}
education.md
# IIT Madras
- B.Sc. Data Science
- 2022 - Present
# ABES Engineering College
- B.Tech CSE
- 2022 - Present
contact.sh
$ ./hire-me
Let's Build Something Amazing
Open to AI engineering roles, consulting, and interesting projects.