Tusshar Lingagiri
AI & FPGA Engineer | RTL & SystemVerilog | Multi-Agent Systems | Spring '25 & Summer Intern '26 @ JPMorgan Chase | BEng Electronic & Software Engineering @ University of Glasgow
📍 Glasgow, Scotland, UK
linkedin.com/in/tussharlingagiriTechnical Expertise
Specialized in building production-grade AI systems with focus on LLMs, multi-agent architectures, and hardware acceleration
AI/ML & LLMs
FPGA & Hardware AI
Development
Data & Embeddings
Frameworks & Tools
Production & Optimization
Featured Projects
Production-grade AI systems and research projects pushing the boundaries of LLMs, multi-agent architectures, and hardware acceleration
Multi-Agent Stock Analysis Platform
LiveProduction agentic AI system featuring autonomous agent orchestration for stock analysis and collaborative decision-making.
Key Features:
- ▹Autonomous agent coordination for market analysis
- ▹Multi-agent stock screening and evaluation
- ▹Inter-agent communication protocol
- ▹Real-time collaboration and consensus
- ▹Production-deployed agent orchestration
FPGA Fiber + AI Acceleration
Planned 2026-27Planned 4th year capstone project exploring hardware-accelerated AI inference using FPGA technology for ultra-low latency neural network deployment.
Key Features:
- ▹Hardware kit acquired from US
- ▹Neural network hardware optimization focus
- ▹Targeting sub-millisecond inference latency
- ▹Real-time AI processing pipeline
- ▹Energy-efficient deployment research
Production RAG Platform for Financial Documents
ProductionFull-stack app that turns financial PDFs/DOCX/TXT into instant, cited answers using multi-LLM orchestration with sub-2s response times.
Key Features:
- ▹Semantic chunking with metadata extraction
- ▹Multi-LLM inference (GPT-4, Llama3, Mistral, Gemma)
- ▹6+ embedding model options
- ▹Cited, structured outputs with validation
- ▹Cost ↔ accuracy model selection
AI-Powered PDF Summarizer & Quizzer
LiveInteractive Streamlit app that transforms PDFs into concise study notes and auto-generated quizzes using GPT-4o + LangChain.
Key Features:
- ▹PDF text extraction with PyPDF2
- ▹Bullet-point summaries via GPT-4o
- ▹Auto-generated MCQs with explanations
- ▹Customizable difficulty and length
- ▹JSON export for easy sharing
Experience & Education
Building expertise through hands-on work, academic excellence, and continuous learning
Software Engineer Summer Intern
UPCOMINGJPMorgan Chase & Co.
Upcoming paid software engineering summer internship focusing on enterprise financial technology systems. (3 months)
- ▹Full-time paid software engineering role
- ▹Enterprise-scale financial technology development
- ▹Hands-on experience with production systems
Software Engineer Spring Intern
JPMorgan Chase & Co.
Software engineering internship focusing on financial technology and enterprise systems.
- ▹Code for Good Hackathon participation
- ▹Enterprise software development
- ▹Financial technology systems
JPMorgan Chase Forage Program
JPMorgan Chase & Co.
Virtual software engineering experience program simulating real-world tasks and projects at JPMorgan Chase.
- ▹Completed virtual software engineering modules
- ▹Financial technology project simulations
- ▹Foundation in enterprise software practices
Bachelor of Engineering - Electronics & Software Engineering
James Watt School of Engineering, University of Glasgow
Final year student specializing in AI/ML and hardware acceleration. Completing FPGA+AI capstone project in 2026-27.
- ▹Final Year Capstone: FPGA Fiber + AI Acceleration (2026-27)
- ▹Artificial Intelligence & Machine Learning
- ▹Data Structures & Algorithms
- ▹Software Engineering & Embedded Systems
- ▹Hardware kit acquired for hands-on FPGA implementation
Certifications
GenAI Pinnacle Plus Program (300+ hrs, 50+ Projects)
Analytics Vidhya
Convolutional Neural Networks
DeepLearning.AI
Machine Learning
Coursera
Advanced Learning Algorithms
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Coursera
J.P. Morgan - Software Engineering Job Simulation
Forage
JavaScript Algorithms and Data Structures
freeCodeCamp
Let's Connect
I'm actively seeking full-time opportunities in AI/ML Engineering, LLM Systems, and Hardware Acceleration starting September 2027 (after graduation). Passionate about bridging the gap between software intelligence and hardware efficiency—from multi-agent AI orchestration to FPGA-accelerated inference.Whether you're building the next generation of agentic systems, optimizing neural networks at the silicon level, or tackling ambitious production AI challenges—I'd love to collaborate and contribute.
tussharlion@gmail.com
/in/tussharlingagiri
GitHub
@tussharlingagiri
Location
Glasgow, Scotland, UK
Quick Message
Open to discussing graduate roles, research collaborations, consulting projects, or technical discussions about multi-agent AI, hardware acceleration, or production LLM systems.Seeking: ML Engineering + Hardware Acceleration roles | Summer 2027 start
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