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About Sarthak
AI Engineer with 3+ years of software development experience and a strong focus on Generative AI, LLM applications, and intelligent automation. Experienced in building end-to-end AI solutions using Python, FastAPI, LangChain, LangGraph, RAG, vector databases, AI agents, and prompt engineering. Hands-on experience developing enterprise AI platforms, conversational assistants, natural language-to-SQL systems, semantic search, and multi-step agentic workflows. Skilled at translating complex business requirements into scalable, production-oriented AI applications, optimizing retrieval accuracy and system performance, and integrating AI capabilities with full-stack applications. Passionate about exploring emerging AI technologies and building impactful solutions that solve real-world problems.
Professional profile
- Location
- New Delhi, India
- Time zone
- Asia/Calcutta
- Work mode
- Remote, Hybrid, On-site
- Availability
- Available Now
- AI experience
- 3+ years
- Industry experience
- 3+ years
- Typical response
- Same business day
- Available in
- United Arab Emirates, India
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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 Sarthak builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Conversational AI
Multi-Agent Systems
Multimodal AI
RAG & Knowledge Retrieval
Semantic Search
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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
- Conversational AI
- Multi-Agent Systems
- Multimodal AI
- RAG & Knowledge Retrieval
- Semantic Search
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agent Skills
- LangChain
- LangGraph
- LangMem
- LiveKit
- Pydantic AI
- Redis Agent Memory
- Streamlit
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Software & SaaS
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
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
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- 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 started22nd Century Software Solutions
RAG • Software & SaaS
India2026Worked on developing Generative AI solutions using Python, FastAPI, LLMs, LangChain, LangGraph, and RAG architectures. Built AI agents, conversational workflows, natural language-to-SQL systems, and intelligent retrieval pipelines, focusing on improving response accuracy, automation, and application performance.
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