01
About Rohit
I am an AI engineer and the founder of Dreamscape Polyverse, specializing in computer vision, generative AI pipelines, and backend architecture. My technical expertise centers on researching, training, and deploying custom machine learning models, including real-time lip-sync systems optimized for production using TensorRT and ONNX quantization. Recently, I engineered an automated video creation pipeline leveraging Remotion alongside multi-agent systems, and I am actively launching new applications developed through rapid AI-assisted vibe coding. Backed by an IEEE-published master's paper on variable density clustering, I bring a strong blend of deep-tech engineering and product-focused execution to a cross-functional founding team.
Professional profile
- Location
- India
- Time zone
- Asia/Calcutta
- Work mode
- Remote, Hybrid, On-site
- Availability
- Available Now
- Typical response
- Same business day
02
Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
03
What Rohit builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
AI Agents
Computer Vision
Conversational AI
Image Generation
Multimodal AI
04
AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
05
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
- AI Agents
- Computer Vision
- Conversational AI
- Image Generation
- Multimodal AI
06
Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agent Skills
- CLIP
- Cartesia
- Civitai
- ElevenLabs
- FLUX
- FastAPI
- Google AI Studio
- Google Flow
- Gradio
- Groq
- HunyuanVideo
- LLMWhisperer
- LTX Video
- LangChain
- MediaPipe
- ONNX Runtime
- Ollama
- Pinecone
- RunPod
- Seedance 2.5
- Seedream 4 / Seedream 4.5
- Segment Anything
- Tavily
- Tesseract OCR
- Vast.ai
- Veo 3.1
- Wan 2.7
- rembg
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Fashion & Apparel
Builder declared
Hospitality & Travel
Builder declared
IT Services & Systems Integration
Builder declared
Media & Entertainment
Builder declared
Software & SaaS
Builder declared
08
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
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