AI / ML ENGINEER & RESEARCHER

ADITYA KANCHI

Building scalable production architectures and exploring the boundaries of AI safety & research.

PORTFOLIO SHOWCASE

Featured Projects & Research

Production-grade AI architectures, hackathon winners, and open-source foundation models.

1st Place Winner - IBM Hackathon (1,400+ Participants)
AI Finance Tracking Assistant

FinArtha

Advanced financial tracking assistant utilizing Streamlit, Groq Llama 3.3 70B, and IBM Granite Open Source models running on Hugging Face Spaces for real-time portfolio analysis and risk evaluation.

StreamlitGroq Llama 3.3 70BIBM Granite OSHugging Face SpacesPython
Production Architecture
Scalable RAG & Git Evaluation
Intelligent Project Tutor & Git Eval Agent

Snowy (v1 & v2)

Intelligent project tutor and repository evaluation agent. v1 utilizes Groq Llama 3.3 70B, Streamlit, Supabase, and GitHub Auth. v2 scales the setup entirely with a high-performance frontend framework, robust backend infrastructure, and a custom RAG pipeline.

Groq Llama 3.3 70BStreamlitSupabaseGitHub AuthCustom RAG PipelinePython
Production Architecture
Regional Open-Source AI
Open-Source Regional Language Assistant

Bhasha Mitra

Open-source regional language assistant built leveraging Streamlit alongside open-source models hosted directly via Hugging Face. Facilitates multi-lingual accessibility, local dialect processing, and translation.

StreamlitHugging Face ModelsPyTorchNLPOpen Source
Production Architecture
Production-Grade Startup (v0 Launch)
AI Alignment & Safety Ecosystem

DeltaTwo

A production-grade startup ecosystem focused strictly on AI research alignment, safety protocols, and community integration. Currently advancing through its v0 launch phase to empower builders.

AI ResearchModel AlignmentSafety EngineeringCommunity Ecosystem
Production Architecture
BACKGROUND & VENTURES

Engineering Against the Grain

Blending AI/ML technical rigor with philosophy, cognitive psychology, and production-grade startup building.

Academic & Theoretical Discipline

AI/ML Engineering & Philosophy

Holding a formal specialization in Artificial Intelligence and Machine Learning, my work is rooted in complex problem-solving, AI safety research, and the intersection of cognitive psychology and philosophy.

Emerging from an underdog, less-reputable institution, I turned structural constraints into an unfair advantage—building relentless self-reliance and raw engineering velocity. Rather than waiting for traditional validation, I focused on winning major national hackathons and turning deep technical research into production-scale startup architectures.

My philosophy centers on building safe, resilient systems: engineering artificial intelligence that expands human capability while adhering strictly to model alignment, safety protocols, and transparent architecture.

AI / MLFormal Specialization
AI SafetyResearch Focus
PhilosophyCognitive Lens
Technical Capabilities

Skill Capsule Matrix

Python
Advanced / Core
Mathematics
Linear Alg & Prob
SQL
PostgreSQL & Supabase
Linux Systems
CLI & Shell Pipelines
Prompt Engineering
Agentic Workflows
Technical Writing
Research Papers
Content Creation
Technical Media
Infrastructure & AI Stack100% Active
VENTURE TIMELINE

Scaling Snowy & DeltaTwo

PHASE 01Hackathon Benchmark

FinArtha Victory

IBM Hackathon 1st Place

Engineered FinArtha under high-pressure competitive constraints, capturing 1st place out of 1,400+ participants with Groq Llama 3.3 70B and IBM Granite OS.

PHASE 02Venture Scaling (v1 -> v2)

Snowy Execution

Production Tutor & Git Eval

Transformed hackathon concepts into a full-scale automated tutor & Git evaluation engine (v1). Scaled v2 with a high-performance frontend framework, robust backend infrastructure, and custom RAG pipeline.

PHASE 03Frontier Launch (v0 Phase)

DeltaTwo Ecosystem

AI Safety & Alignment

Founded DeltaTwo as a production-grade startup ecosystem focused strictly on AI safety protocols, model alignment research, and connecting researchers to build human-aligned AI architectures.