grounded-rag
RAG / LLMGrounded RAG: Ask-My-Docs with Cited Answers
Domain-specific retrieval-augmented generation with hybrid retrieval and source citations for grounded, verifiable answers.
PythonRAGhybrid retrieval
Open to AI / ML roles — Germany & EU
Ayush Tiwari
RAG · LLMs · Computer Vision · Data Science
0+ yrs
Collins Aerospace
MSc AI
BTU
B.Tech CCE
MIT Manipal
0
GitHub repos
About
I spent 2+ years at Collins Aerospace doing computer vision and data science: video-quality checks for aircraft cameras, activity recognition in the cabin, a model that predicted network failures before they happened. That's where I learned the difference between a model that scores well in a notebook and one that holds up on a noisy camera feed. Right now I'm finishing an MSc in Artificial Intelligence at BTU, writing a thesis on parameter-efficient fine-tuning of vision transformers for driver monitoring.
These days most of my time goes into LLM systems and agentic AI: RAG pipelines with hybrid retrieval, and agents that use tools to get real work done. I spend just as much time on the unglamorous parts, like honest evals, observability, and training runs you can reproduce. Nothing beats taking an idea out of a paper and watching it ship.
I grew up in India and live in Germany now, looking for AI/ML engineering roles here and across the EU. Off the clock it's the gym, a good book, a few rounds of Counter-Strike 2, or a train to a corner of Europe I haven't seen yet.
Featured projects
cs2-rag-assistant
RAG / LLMCS2 RAG Assistant
RAG assistant with reranking and an evaluation harness; optimized chunk retrieval over a ChromaDB vector store.
PythonLangChainChromaDB
peft-lora-vit
Computer VisionParameter-Efficient Fine-Tuning of a Vision Transformer (LoRA)
Parameter-efficient fine-tuning (LoRA) of a Vision Transformer for image classification, the technique at the center of my thesis.
PyTorchLoRAVision Transformer
peft-lora-llm
LLMParameter-Efficient Fine-Tuning of an LLM (LoRA)
Hand-written LoRA on the attention q/v projections of a small decoder-only LM: 93.7% on AG News while training 0.23% of the weights, with a rank ablation over {4-32}.
PyTorchLoRAHugging FaceHydra
pdf-summary-app
LLMPDF Summary Tool
Streamlit app that extracts, previews, summarizes, and exports PDF text with LangChain and DeepSeek/OpenAI models. Hosted on Streamlit Cloud.
StreamlitLangChainLLM APIs
yolov4-tiny-edge
Edge MLReal-Time Object Detection on Edge Devices with YOLOv4-Tiny
Real-time object detection for low-power edge devices: CPU-only YOLOv4-Tiny inference with an edge-profile FPS benchmark and COCO accuracy, framed against a Raspberry Pi 4B.
PythonYOLOv4-tinyedge
More on github.com/headless-start.
Quote of the day
“We can only see a short distance ahead, but we can see plenty there that needs to be done.”
— Alan Turing
Experience
Collins Aerospace
Bengaluru, IndiaAssociate Engineer (Data Science)
Oct 2021 – Jul 2022- Built a web-based Aircraft Connection Management System to test network connectivity across protocols.
- Engineered an ML pipeline (ensemble + time-series) that predicted network failures with 92% recall and reduced downtime by 60%.
- Shipped a Power BI dashboard that tracked aircraft connection status in real time.
Graduate Engineer (Computer Vision)Spot Award
Aug 2020 – Oct 2021- Worked on an aircraft cabin-monitoring system that analyzed passenger behavior: image enhancement, passenger detection, object tracking, and pose-based motion analysis.
- Trained CNN activity-recognition models with pose estimation to classify passenger behavior against known in-flight scenarios.
- Delivered automated alerts to the crew display, with sensitivity tuned to the phase of flight.
- Reduced cabin-crew monitoring workload by 40% through automated alerts and incident-reporting workflows.
Avionics Intern (Computer Vision)
Feb 2020 – Jul 2020- Built a full-reference video-quality analyzer to detect defects in manufactured aircraft cameras.
- Scored test footage against a reference video on 9 metrics across 4 parameters: RMSE, sharpness (variance of Laplacian and FFT), noise (SNR/PSNR), and color accuracy (ΔE94/ΔLUV).
- Pinpointed video artifacts to specific areas of the frame using 6 overlapping regions of interest, in both real-time and batch modes.
- Matched the Imatest industry benchmark at 97% correlation.
- Integrated the full check suite into a Jenkins CI/CD pipeline (Python, OpenCV, NumPy, scikit-image), which replaced manual quality checks.
VVDN Technologies
Gurgaon, IndiaProject Intern
Jun 2019 – Jul 2019- Built the data layer (relational schema + CRUD APIs) for an Android student-information system.
- Optimized queries with indexes and cut execution time by about 20%.
Skills
Computer Vision
Languages
English · NativeHindi · NativeGerman · A2
Education
Brandenburg University of Technology (BTU) Cottbus-Senftenberg · Cottbus, Germany
Apr 2023 – PresentM.Sc. Artificial Intelligence
CGPA: 2.3 (German scale, 1.0 best)Thesis: Parameter-Efficient Adaptation of Facial Expression Recognition Models for Driver Monitoring.
Relevant coursework: Image Processing and Computer Vision, Explainable Machine Learning, Learning in Real and Virtual Humans, Virtual Reality and Agents, Cognitive Systems: Behavior Control, Introduction to Computational Neuroscience, Data Warehouse Technologies.
Manipal Institute of Technology (MIT), MAHE · Manipal, India
Jul 2016 – Nov 2020B.Tech Computer & Communication Engineering
CGPA: 8.09 / 10 (Indian scale, 10 best)Minor · Big DataThesis: Method of Computing the Video Quality Using Full Reference Algorithms.
Relevant coursework: Data Structures, Algorithm Analysis and Design, Object Oriented Programming, Operating Systems, Database Systems, Parallel Programming, Data Mining and Predictive Analysis, Machine Learning with Big Data, Graph Analytics for Big Data, Social Network Analytics, Computer Vision.
Degree certificateDelhi Public School (DPS) · Lucknow, India
Intermediate — Class XII (CBSE)
Percentage: 93.6%High School — Class X (CBSE)
CGPA: 10.0 / 10Volunteering
Sarvajanik Shikshonnayan Sansthan (SSS) · Hardoi, India
May 2018 – Jun 2018Volunteer Teacher
Taught English and Computers to underprivileged children and ran workshops on the value of education.
Have an AI/ML role in mind? Let's talk.
