Go-To-Market Intern
Key.AI | Palo Alto, California (Remote)
StrategyGo to Market Marketing
About Me
I architect the intelligent infrastructure and proprietary AI systems that bridge the gap between high-scale software engineering and institutional-grade investment strategy.
I synthesize cloud-native frameworks with advanced AI pipelines, focusing on transforming multi-dimensional data into actionable market intelligence and operational alpha.
What I Do
LLM Pipeline Development
Building AI pipelines with Langchain and custom RAG systems for advanced NLP applications.
Full Stack Development
Creating responsive web applications with React and cloud-native backend solutions.
Design and Creative
Crafting intuitive and visually appealing digital experiences with a focus on usability.
Entrepreneurial
Identifying opportunities and building scalable MVPs that solve real-world challenges.
Skills
Frontend Development
Translating design concepts into interactive web applications with modern frameworks and libraries.
Backend & Infrastructure
Building robust server-side architectures and infrastructure to power scalable applications.
AI & Machine Learning
Leveraging cutting-edge AI and ML technologies to build intelligent systems and applications.
Data Engineering
Architecting data pipelines and analytics solutions to extract valuable insights from raw data.
Software Development
Building robust applications across multiple platforms using various programming languages and frameworks.
Web3 & Specialized Tech
Exploring emerging technologies and specialized domains including blockchain and content management systems.
Work Experience
I help companies deliever products. With my expertise and well-rounded skillset, I bring about fresh perspectives and innovative solutions.
Risk Analyst Intern
Bank of Singapore | Singapore
- Engineered a predictive sentiment analysis dashboard leveraging Streamlit, FinBERT, and NER to correlate real-time news feeds from Refinitiv and Alphaverve with ticker price action, a solution subsequently adopted by a specialised internal team for its alpha-generation potential.
- Conceptualised and developed a behavioral data science model to identify high-risk credit patterns, specifically targeting circular borrowing schemes, thereby enhancing early warning signals for potential account defaults and deficits.
- Architected and deployed a suite of interactive risk dashboards using Power BI and SQL, including FX Derivative Monitoring and Bulk Review systems, enabling risk managers to visualize complex holdings and drastically reduce manual portfolio screening time.
- Programmed automated group-wide reporting workflows using VBA and Macros to uncover security concentration across multiple banking entities, streamlining data consolidation and optimizing regulatory reporting cycles.
- Spearheaded quantitative research on historical market crises to calibrate stress testing parameters and automated the testing environment, ensuring robust portfolio resilience against geopolitical shocks and market volatility.
Machine LearningLarge Language ModelsRisk ManagementSQLData ScienceMacroeconomics
Machine Learning and Software Engineer Intern
Parametriks | Paris, France
- Conceptualised and fabricated a full-stack application leveraging on next.Js and aws, engineering core features such as generative ai capabilities and natural language video querying to boost user experience and functionality.
- Architected and deployed a scalable aws infrastructure with aws cdk, including vpc, aurora serverless rds, lambda, api gateway, glue, s3, and athena, streamlining multi-developer collaboration.
- Conceptualised and programmed advanced ai capabilities with a text-to-sql workflow using bedrock, attaining 80% accuracy in natural language query conversion and enabling insights across datasets and document repositories.
- Engineered automated ai/ml data pipelines leveraging glue crawlers, athena, and sagemaker for real-time data ingestion, analysis, and prediction, decreasing operational overhead by 70% and enhancing system efficiency.
- Designed and constructed interactive dashboards with dynamic data visualizations, enhancing usability and potentially reducing time stakeholders spend extracting insights by 50%.
- Developed and tested secure, scalable restful apis using aws api gateway, integrating with aws lambda, aws rds and dynamodb to enable robust serverless architectures.
- Designed and deployed scalable postgresql and nosql databases, ensuring data integrity and adaptability to handle complex datasets from multiple insurers and clients.
- Authored comprehensive technical documentation covering infrastructure, workflows, and architecture, predicted to reduce onboarding time for new developers by 50% and facilitating cross-team collaboration.
AWSAWS CDKMachine LearningSystem ArchitectureFull-StackTypeScriptReact.jsNext.jsPostgreSQLDynamoDB
Research Intern
Singapore Immunology Network (SIgN) | Singapore
- Spearheaded analysis of large-scale genomic datasets (>7 million rows), leveraging advanced bioinformatics techniques to uncover critical insights that directly influenced research directions and decision-making
- Designed and implemented a custom automated pipeline by integrating 11+ open-source bioinformatics tools, reducing manual intervention by 40% and accelerating data processing timelines by 30%
- Engineered robust Shell and Python automation scripts to extract and classify cell barcodes, segment TCR α and β chains at single-cell level, and reconstruct TCR chains via de novo assembly, enhancing reproducibility and scalability
- Revolutionized cell barcode extraction methodologies, achieving a 258% increase in barcode recovery (from 608,700 to 2,181,878), improving data quality and downstream analysis accuracy
- Pioneered a novel Python-based algorithm to separate TCR α and β chains without reliance on a whitelist, achieving 90% accuracy across 100 unique cell barcodes using Ward's linkage clustering, setting a new benchmark for TCR chain analysis
- Tailored Shasta for TCR-specific assembly of α and β sequences, overcoming configuration constraints and pioneering novel methodological advancements
- Co-authored “Refining TCR clonotype identification with long-read sequencing technique” submitted to Society for Immunotherapy of Cancer (SITC), as third author and first intern co-author, positioned among full-time researchers highlighting significant contributions to research project
BioinformaticsData ScienceMachine LearningResearch
President
NUS SoC Computing Club | Singapore
- Directed a team of 30 executives to organize 20+ high-impact events, including orientation camps, hackathons, and networking sessions, reaching 5,000+ undergraduates and achieving a 90% participant satisfaction rate
- Strategically managed and allocated a $300,000 annual budget across 4 departments, optimizing resource distribution to maximize event quality and club engagement
ManagementLeadershipProject Management
Software Engineer Intern
LFG | Ho Chi Minh City, Vietnam
- Led collaboration with a cross-functional team of 4 developers to design and implement 10+ website features
- Partnered with 3 UI/UX designers to ensure a 100% responsive and user-friendly interface
- Conducted business development and product pitching at networking events to VCs
TypeScriptPrisma StudioTRPCReact.js
Software Engineer Intern
ASEAN Business Youth Association | Singapore
- Orchestrated a cross-functional team of 7 (3 developers, 2 UI/UX designers, 2 copywriters) across 3 ASEAN countries to develop and deploy a full-stack web application eliminating monthly downtime from 6% to 0%
- Conduct code revisions and optimisation on a bi-weekly basis
TypeScriptReact.jsFirebaseProject ManagementScrum
Sergeant
Republic Singapore Air Force | Singapore
- Pioneered NSF Council to improve welfare and camaraderie among 20+ NSFs across 3 departments, organizing 3 impactful welfare eventswithin 4 months
- Recognized as “Best Airman of the Month” in August 2021 for exceeding expectations and demonstrating initiative
- Selected amongst 100+ NSFs to represent RSAF in National Day Parade 2021 and SAF Day 2021 as part of Guards of Honour, showcasing discipline, precision, and teamwork in high-profile national events
Project Management
Projects
RecceLabs LLM-powered Marketing Dashboard
A containerized microservices platform enabling non-technical stakeholders to perform complex marketing analytics via natural language and high-accuracy time-series forecasting.
Achieved A Grade
FullStackNext.jsTypeScriptFlaskPythonMongoDBDockerNginxLLMProphetOptunaDeepSeekTailwindCSSMicroservices
Problem
Marketing managers relied on static CSVs and aggregated monthly data that made granular ROAS calculation impossible. Traditional forecasting models like ARIMA and XGBoost yielded high error rates (MAPE > 40%), failing to provide the predictive depth needed for proactive budget allocation.
Solution
Developed a containerized architecture utilizing Meta's Prophet for time-series forecasting and a multi-LLM pipeline (Llama 3, Llama 4 Maverick, and DeepSeek-R1) to automate report generation. The system features automated hyperparameter tuning via Optuna and an Nginx-routed microservices backend to handle concurrent analytical workloads.
Achievements
- Achieved ≤ 15% MAPE for revenue forecasting, significantly outperforming ARIMA (42.3%) and XGBoost (49.8%)
- 91.7% success rate in query classification across description, report, and chart tasks
- Sub-second classification latency (0.71s) for real-time user query processing
- Optimized 25 engineered features down to 7 key predictors using VIF to eliminate multicollinearity and improve model stability
Twenify
A sophisticated, all-in-one productivity ecosystem designed to mitigate cognitive fragmentation and digital distraction through a harmonized suite of essential organizational tools.
Achieved B+ Grade
FullStackVueFirebaseTailwindCSSAuthenticationGamificationProductivityWebBlocking
Problem
Modern students navigate an environment of constant cognitive fragmentation, where the friction of switching between disparate applications for scheduling, focus, and music leads to significant digital distraction and the erosion of 'deep work' capabilities.
Solution
Engineered a centralized 'digital sanctuary' that converges high-precision focus tools—including a Pomodoro timer and robust website blocker—with a gamified reinforcement layer. The platform leverages a Tamagotchi-style virtual companion and social leaderboards to transform task management into an engaging, habit-forming ritual.
Achievements
- Developed and harmonized 7+ integrated productivity modules into a single, cohesive Vue.js interface
- Architected a real-time backend using Firebase Firestore and Authentication for seamless cross-device state persistence
- Successfully implemented a gamification loop that incentivizes academic performance and sustained focus sessions
Promptly
A high-performance macOS menubar utility that provides instant AI-powered text processing across the entire operating system. It eliminates the friction of traditional AI interfaces by allowing users to highlight text in any app and trigger local LLM-driven actions—such as summarizing, rewriting, or code analysis—via a customizable global shortcut.
8 Stars on GitHub
SwiftSwiftUImacOSAIOllamaProductivityLocalAINativeAppLLM
Problem
Standard system-level writing tools often feel restrictive and lack the flexibility to choose specific AI models. Previously, accessing advanced AI assistance mid-workflow required disruptive context-switching to browsers or resource-heavy applications, which broke focus and compromised data privacy through cloud-based processing.
Solution
Engineered a native SwiftUI application that serves as a seamless conduit between the macOS ecosystem and local AI intelligence. By leveraging system-wide accessibility permissions and deep integration with Ollama, the app enables a private, 'invisible' utility experience where users can query local models instantly without ever leaving their active window.
Achievements
- Architected a lightweight Swift-based system that captures and processes text across any macOS application with sub-second latency.
- Eliminated the need for Docker or complex terminal workflows by providing a clean, consumer-grade GUI for local LLM orchestration.
- Developed a customizable shortcut and prompt engine that allows for personalized AI behaviors tailored to specific professional tasks.
- Optimized the application footprint to match the performance standards of elite macOS tools like Rectangle and Alfred.
