Venkat Akhil Lakkapragada

Venkat Akhil Lakkapragada

Founder, Mistyoz AI  ·  AI Researcher and Engineer

Hey, I'm Akhil - founder of Mistyoz AI, AI researcher, and engineer. I build language models and AI systems from scratch, working across model architecture, data preparation, pretraining, reasoning, fine-tuning, and deployment. My work includes the CosmicFish family of language models, adaptive reasoning architectures, on-device AI, content-safety systems, and speech technologies. I'm particularly interested in efficient AI, reasoning systems, audio AI, edge AI, and machine learning infrastructure. Currently open to internships, research opportunities, and collaborations.



CosmicFish-HRM
CosmicFish-HRM
Adaptive reasoning depth in compact LLMs via hierarchical recurrent mechanisms.
CosmicFish
CosmicFish
Flagship language model built from scratch with production-ready deployment.
CosmicChat
CosmicChat
Offline iOS app running CosmicFish models locally via MLX and CoreML on the Apple Neural Engine.
EvoMind API
EvoMind API
Content-safety API platform with five production models for text moderation.
CosmicFish-HRM
Language Model + Research
A language model with a Hierarchical Recurrent Module that learns to allocate compute dynamically at inference time. Pairs with the arXiv publication on adaptive reasoning in compact LLMs.
CosmicFish
Language Model
A modern, efficient language model built from scratch with production-ready deployment capabilities. The flagship model of the CosmicFish family, available at 90M - 300M parameters on HuggingFace.
CosmicChat
iOS App  ·  Swift + MLX + CoreML
An iOS application enabling fully offline interaction with CosmicFish language models. Runs models locally using MLX and CoreML on the Apple Neural Engine, with EvoMind moderation integrated to filter harmful prompts. Built entirely in native Swift.
EvoMind API
Moderation API Platform  ·  Bidirectional Transformer
A content-safety platform powered by a bidirectional transformer, available via API. Five production models: jailbreak detection, profanity detection, PII detection, scam and phishing detection, and harmful content flags. Get an API key and start moderating.
EvoTalk
Text-to-Speech  ·  PyTorch  ·  Vocos
A single-speaker text-to-speech acoustic model built from scratch in PyTorch. A standalone architecture that predicts mel spectrograms from phonemes, vocoded natively with Vocos at 24 kHz.
SpeakScan
Speech + TTS Data
An audio pipeline that downloads YouTube videos, transcribes them, identifies speakers, tags emotions, and generates structured training data for speech and TTS models.
EvoMind 2.0
Content Safety
A lightweight 7.4M parameter transformer for real-time content safety classification. Detects harmful prompts, toxic language, and unsafe content. Powers the moderation layer inside CosmicChat.
SpecBench
LLM Evaluation Tool
A custom eval suite generator for language models. Describe your model, get a targeted benchmark, score your outputs, and compare architectures and training runs. Built for ML engineers who build small models from scratch.
Intervo
AI Voice Agent  ·  Sarvam AI Stack
An AI-powered voice interview agent. Upload a resume and job description, conduct a full voice interview, and receive detailed feedback on your performance. Built with Sarvam's speech and language stack.
PeerX
iOS + Android  ·  Encrypted Messaging
A device-to-device encrypted messaging application for iOS and Android. No accounts, no phone numbers, no server-side message storage.
GemmaCare
Flutter  ·  Android App  ·  Health AI  ·  Gemma 4 Hackathon
A personal AI health companion built with Flutter and Gemma. Scans documents, finds nearby care, guides through emergencies, and manages appointments, all with full on-device privacy control.
CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models
arXiv:2605.28919  ·  2026
Large language models have achieved strong reasoning capabilities, though often at the cost of massive parameter counts and expensive inference. This work explores a different direction: adaptive reasoning depth in compact language models. CosmicFish-HRM is built around a Hierarchical Reasoning Module that dynamically allocates computational effort during inference, iterating through high-level and low-level reasoning cycles and learning when to halt based on input complexity. The model learns non-uniform reasoning behavior, allocating different numbers of reasoning steps across tasks and inputs, suggesting that adaptive reasoning depth may offer a promising alternative to relying solely on parameter scale.

Cited by IQuest Research (Ubiquant, Beijing) in Loop the Loopies!


NPTEL  ·  IIT Ropar
Deep Learning
Elite  ·  View Certificate
Coursera
Generative AI Fundamentals
Cisco Networking Academy
CCNA: Switching, Routing, and Wireless Essentials
Cisco Networking Academy
Networking Essentials
Resume

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