Brainlab R&D Systems
platforms, integrations, analytics, internal AI tooling
nandhu@ai-systems:~$ ./profile_
Applied AI / LLM Systems Engineer
Building AI/software systems across model evaluation, RAG workflows, agentic AI orchestration, edge AI, data pipelines, and product-grade AI tooling.
I recently completed my B.Sc. in Management & Technology at the Technical University of Munich, specializing in Computer Engineering.
My work sits at the intersection of AI systems, model evaluation, backend/data workflows, and product execution. Over the past 3+ years at Brainlab, I worked on R&D platforms, data and analytics pipelines, integrations, internal AI tooling, and production-facing prototypes.
My thesis focused on activation steering and behavioral evaluation in masked diffusion language models, including refusal, sycophancy, hallucination, transfer behavior, layer depth, and denoising-time effects.
platforms, integrations, analytics, internal AI tooling
activation steering and behavioral analysis workflows
agent workflows, tool routing, and production execution pipelines
from prototype to product-grade implementation
Local-first desktop AI assistant for local and cloud LLMs with screenshot/image context, streaming chat, provider switching, secure key storage, voice/camera interaction design, and privacy-first controls.
TUM thesis on activation steering and behavioral evaluation in masked diffusion language models, analyzing refusal, sycophancy, hallucination, transfer behavior, layer depth, and denoising-time effects. Reduced refusal from 68.8% to 3.1% on the main harmful-prompt benchmark and localized strongest steering effects near layer 19 and the first 40 denoising steps.
Agentic RAG workspace for course-material ingestion, source-grounded tutor responses, summaries, flashcards, quizzes, and structured study artifacts. Implemented PDF/DOCX/PPTX/text ingestion, chunking, passage ranking, source-ID filtering, and multi-backend inference across local and cloud models.
Local-first AI productivity system with multi-provider model routing, Codex CLI/Ollama/OpenAI integration, structured outputs, runtime checks, and human approval gates for AI write actions.
AI-assisted smart-contract security platform combining static analysis, exploit validation, LLM triage, structured outputs, monitoring, and audit-report generation. Built with FastAPI orchestration, Docker Compose services, Slither/Mythril/Foundry-style analysis workflows, multi-provider LLM analysis, and regression testing.
Reproducible XAI pipeline over SEC EDGAR disclosures using FinBERT, cross-validation, holdout evaluation, SHAP, LIME, attention, permutation, and counterfactual explanations. Achieved 80.0% accuracy, 93.33% recall, and 82.35% F1 on a 30-sample holdout set while preserving interpretability through explanation reports.
Research experiment studying how behavioral steering effects and output quality vary across denoising steps in masked diffusion language models. The LLaDA experiments showed that strongest refusal-steering effects were concentrated near layer 19 and the first 40 denoising steps, suggesting that useful behavioral control may not require uniform intervention across the full sampling trajectory.
Experimental small-model optimization submission to OpenAI's parameter-golf challenge, focused on compression, quantization, and evaluation under strict artifact-size constraints. Improved FineWeb validation BPB from 1.2244 to approximately 1.147 in a 15.8MB quantized artifact using quantization, EMA, int6 export, late QAT, partial RoPE, and embedding/activation changes.
[2023-present] Brainlab - Data, AI & Software Systems, R&D Office
Built R&D platforms, data pipelines, analytics workflows, integrations, and internal AI prototypes in a complex healthtech R&D environment.
[2026] TUM Thesis - Activation Steering in LLaDA
Studied behavioral control in masked diffusion language models through controlled model-evaluation experiments.
[2025-2026] Crypt - Founder / Builder
Built an AI-assisted security platform with backend orchestration, exploit-validation workflows, structured LLM outputs, monitoring, and audit-report generation.
FEATRme - Associate Product Manager
Worked on product discovery, AI-LegalTech feature planning, customer interviews, prototyping, GDPR considerations, and funding-pitch preparation.
SeniorConnect - Founder's Associate / GTM Strategy
Conducted B2B market research across SaaS, IT, and industrial sectors, supporting outreach, vertical analysis, and GTM strategy.
WearCompare - Co-founder / Product
Built and validated an AI-powered clothing resale/reuse concept in collaboration with Circular Republic, conducting 50+ qualitative interviews and launch strategy work.
PushQuantum - Corporate Sponsorship Coordinator
Managed sponsorship and partnership development, including work connected to a BMBF-funded quantum outreach initiative.
languages -> Python, TypeScript, JavaScript, SQL, Java, R
ai_ml -> PyTorch, TensorFlow/Keras, scikit-learn, Hugging Face, FinBERT, SHAP, LIME, model evaluation, RAG
llm_systems -> OpenAI API, Anthropic API, Gemini, Ollama, llama.cpp, Codex CLI, LangChain, LlamaIndex, Pinecone
backend -> FastAPI, REST APIs, WebSockets, Pydantic, Docker, GitHub Actions, CI/CD
frontend -> React, Next.js, Tailwind CSS, Vite, Zustand
data_cloud -> Power BI, Tableau, Azure DevOps, Azure, AWS
IIT Madras Leadership & Innovation Roles
Held student leadership roles across academic affairs, cultural affairs, student innovation, entrepreneurship, department representation, and campus media.
Academic Affairs · CFI · E-Cell · Department Council · Cultural Affairs · Article 19
Academic Affairs Executive Committee, Centre for Innovation Coordinator, E-Cell Associate Manager, Department Council Member, Cultural Affairs Executive Council, and campus media.
UN / Public Health Volunteering
Supported BRUNCH and WASH outreach initiatives targeting child nutrition and public-health awareness, contributing to digital outreach and campaign growth.
[2022-2026] Technical University of Munich
B.Sc. Management & Technology - Specialization: Computer Engineering
[2020-2022] Indian Institute of Technology Madras
Integrated M.A. Interdisciplinary Studies - coursework completed before transfer to TUM
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