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About Mounika
AI Engineer who builds production LLM applications, RAG systems and voice agents end to end in Python and TypeScript. At Vertical Systems I built and deployed a B2B lead-generation platform used daily by the client's sales team, including Anthropic-powered prospect search, AI research briefs and outreach drafts, automated data-ingestion pipelines, and AI voice agents that handle live phone calls. I work directly with clients, from gathering requirements to shipping, and I back my systems with evaluation sets, automated tests and CI. My independent work includes a RAG engine over federal grant documents (90% recall@5, 97% faithfulness), a real-time voice interview coach (~1.5s voice-to-voice latency), and a LangGraph research agent with human-in-the-loop approval.
Professional profile
- Location
- Hyderabad, India
- Time zone
- Asia/Calcutta
- Availability
- Available Now
- AI experience
- 1+ years
- Languages
- English
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Mounika builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Agentic Workflow Automation
AI Agents
AI Evaluation & Testing
Conversational AI
RAG & Knowledge Retrieval
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agentic Workflow Automation
- AI Agents
- AI Evaluation & Testing
- Conversational AI
- RAG & Knowledge Retrieval
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Anthropic Claude
- Cloudflare Workers AI
- Deepgram
- FastAPI
- Google Gemini
- Groq
- LangGraph
- Llama 3.1
- Python
- React
- Retell AI
- Supabase
- Tavily
- TypeScript
- VoiceFlow
- Zapier
- n8n
- pgvector
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Data & Analytics
Builder declared
IT Services & Systems Integration
Builder declared
Software & SaaS
Builder declared
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Trust & verification
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Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
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- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Professional record and further evidence
Client Portfolio
Portfolio startedChillville Bakery & Boba
Web Application & Online Ordering
Owned the project end to end for a non-technical business owner, from scoping to launch: a multi-page Next.js site (chillvilletreats.com) with a serverless pickup-ordering flow, email order confirmations and structured-data SEO.
B2B Sales Organisation
ConfidentialLLM Apps, Voice Agents & Automation
2025Built and deployed an AI-powered lead-generation platform used daily by the sales team: Claude-powered prospect search, research briefs and outreach drafts, automated lead ingestion and scoring, and AI voice agents handling live phone calls.
Professional Certifications
Well credentialedData Science (A+)
NASSCOM
Issue date not specified
Front-End Development
EPAM Systems
Issue date not specified
Tableau
Tableau
Issue date not specified
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