Teaching Assistant
Multi-Agent Autonomous Tutoring Platform
"Two AI models. One visible. One invisible, silently orchestrating everything. Adaptive student guidance in real time."
Voice AI Architects
Voice AI Platforms · Autonomous Agents · Enterprise RAG · Distributed Systems
Most agencies or solo developers build basic API wrappers. We are a specialized team of highly experienced AI engineers, full-stack engineers, and distributed systems architects who build, optimize, and deploy high-performance, production-grade AI systems.
Led by Hit Kalariya, our team has hands-on experience delivering dedicated solutions for every dimension of modern artificial intelligence. We build custom multi-agent environments, design enterprise-grade search infrastructures, compile optimized edge vision pipelines, and deploy serverless model hosting at scale.
Multi-Agent Autonomous Tutoring Platform
"Two AI models. One visible. One invisible, silently orchestrating everything. Adaptive student guidance in real time."
Enterprise voice agent platform with custom pipeline
"Custom low-latency pipeline with proper interruption/barge-in, language switching, self-hosted LLMs, and scale telephony."
Wildlife & Perimeter Defense with Computer Vision
"Multi-model computer vision ensemble processing live drone streams, detecting and geolocating perimeter threats."
Natural Language Data Access Across 150+ Warehouses
"A query in Tamil answers from 3,000+ tables across 150 warehouses in under three seconds. Schema-aware RAG."
Real-Time Vision-Language Inference on Edge Hardware
"Google's PaliGemma VLM made production-ready on Jetson Orin Nano, Raspberry Pi, and mobile devices."
Invisible Dubbing with Lip Sync AI
"Translated speech synchronizing lip movements in real time across live video streams, preserving speaker timbre."
AI-Powered Project Management Platform
"A two-sentence brief. A fully structured SRS, feature breakdown, and Kanban board — in under 60 seconds."
Digital Payment Infrastructure Simulation
"How does UPI process 10 billion transactions without failing? SAMPARK makes that UPI-class architecture visible."
Two self-hosted LLMs running simultaneously. The visible speech-to-speech tutor interacts live with students. The hidden text-to-text orchestrator silently injects context, memory, difficulty signals, and guidance into the tutor's prompts in real time.
A production-grade, highly optimized Voice AI calling agent platform. Rather than using default LiveKit/PipeCat wrappers, we engineered a custom end-to-end media pipeline delivering audio-in to audio-out latency within milliseconds. Handles proper barge-in detection, real-time dynamic language switching, and self-hosted LLM inference for 1000s of concurrent calls.
Multi-model computer vision ensemble processing satellite imagery and live drone footage, detecting and geolocating threats before encounters occur — specifically designed for Kerala's forest perimeters.
Multi-stage advanced RAG pipeline with HyDE, recursive retrieval, schema-aware chunking, graph-based navigation, hybrid search + cross-encoder reranking, and chain-of-table reasoning — deployed across real enterprise supply chain infrastructure.
A complete, end-to-end four-stage optimization pipeline that takes Google's PaliGemma vision-language model and makes it production-ready on Jetson Orin Nano, Raspberry Pi, Android, and iOS — without meaningful accuracy loss.
Fine-tuned LatentSync diffusion-based lip sync model on 4,000 custom samples. Translates, synthesizes, and synchronizes lip movements in real time across live video streams — outperforming Wav2Lip, GAN-Wav2Lip, and Wav2LipHD baselines.
Most software teams hemorrhage time before a single line of code is written. TaskPilot Labs eliminates this bottleneck completely — replacing days of planning with seconds of intelligent automation that understands intent, not just instructions.
A full-fidelity simulation platform that replicates the multi-party architecture of modern payment ecosystems — from transaction routing and event sourcing to settlement workflows and real-time monitoring.
"Hitt is a solid full-stack engineer who's genuinely easy to work with. He understands both the big picture and the small details, which makes collaboration smooth and efficient."
"Hit demonstrated strong expertise in AI/ML, especially in computer vision and agent-based systems. He understood the requirements quickly, delivered innovative solutions, and maintained excellent communication throughout."
"Hit did a good job building out pipeline and testing our MVP. Will work with again."
I'll tell you honestly what's possible, what's overhyped, and exactly how I'd build it.
Send me a message on Upwork — I respond within 24 hours.