Abhi Chakraborty
Founder · AI Systems Architect · Quantitative Researcher
I build intelligent systems that merge LLM memory, autonomous reasoning, and real‑time quantitative analysis. My work spans trading intelligence (Ruru), agent memory OS (MemMapRu), and next‑gen signal engines (KinetRu). Currently based in Seattle.
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Get in TouchWork Experience
2025 — Present
AI Systems Architect
RuruSystems (Founder)
🇺🇸 Seattle, USA- Founded an AI venture hub in Seattle, focusing on agent intelligence, contextual reasoning, and multi-modal cognition. Established core architecture, backend services, dev tooling, and full CI/CD + deployment workflows from scratch.
- Designed MemMapRu — a multi-layer memory OS enabling persistent recall, contextual embeddings, and structured knowledge graphs for long-context LLMs.
- Led development of KinetRu — a real-time quant signal engine featuring burst detection, volatility regimes, dynamic support/resistance layers, and intraday forecasting filters. Also building GnosisRu (storytelling engine) and Anuru (emotion-signal feedback AI).
2025 — Present
LLM Bias Detection & Hallucination Analysis
Syracuse University (Research Assistant)
🇺🇸 New York, USA- Designed and executed bias experiments on LLMs using structured demographic templates. Used Python, pandas, NumPy, and OpenAI APIs to analyze 300+ prompts and output variations.
- Built a reproducible testing pipeline, scored model outputs for consistency and hallucination tendencies using similarity metrics like cosine, BLEU, and Jaccard. Stored results in version-controlled datasets.
- Created academic-style Quarto reports and visual summaries. Delivered a robust benchmarking system for hidden bias, hallucination triggers, and LLM evaluation under controlled scenarios.
2019 — 2021
Senior Solutions Engineer
PayPal
🇮🇳 Bangalore, India- Built scalable privacy-consent and automation platforms ensuring compliance and user security across global markets.
- Collaborated with QA and product teams to design CI/CD pipelines and reduce release cycle time for mission-critical services.
- Used Node.js, React, Cypress, and AWS to optimize testing, deployment, and monitoring across high-volume financial workflows.
2017 — 2018
Senior Software Engineer
IBM ISL
🇮🇳 Bangalore, India- Worked on enterprise-scale systems involving data ingestion, reporting, and distributed backend pipelines.
- Migrated legacy stacks to modern architectures and improved batch job performance using optimized scheduling.
- Collaborated with cross-functional teams to implement data-driven dashboards and streamline internal processes.
2014 — 2016
Software Engineer
Bosch
🇮🇳 Bangalore, India- Designed full-stack features for security audits, UI workflows, and backend validation for 500+ enterprise users.
- Used Java, SQL, JSP, and Spring to create robust modules with reusable code and maintainable structure.
- Gained early exposure to enterprise architecture, developer tooling, and engineering best practices in large teams.
Education & Skills
Master of Science in Applied Data Sciences
I pursued my Master’s in Applied Data Science at Syracuse, where I gained expertise in Applied Machine Learning, Financial Analytics, Business Analytics, and NLP.
Bachelor of Engineering in Computer Science
I completed my Bachelor of Engineering in Computer Science at VTU, where I built a strong foundation in core CS subjects like Data Structures & Algorithms, Operating Systems, DBMS, and Computer Architecture.
Featured Projects
About Me
I was born in Varanasi — a town where logic and spirituality naturally coexist. Growing up, I was drawn not just to computers, but to the systems behind them — curious about how intelligence could be built, structured, and scaled.
After completing my Bachelor's in Computer Science, I spent over 9 years at Bosch, IBM, and PayPal, building enterprise-grade backend systems and scalable data platforms. While the work was rewarding, I felt called to explore deeper — beyond performance tuning, toward purposeful intelligence.
That journey brought me to Syracuse University, where I pursued my Master's in Applied Data Science. There, I explored the frontier of machine learning, LLM evaluation, and long-horizon cognition. As a research assistant, I contributed to studies on hallucination detection and memory consistency in generative models.
Today, I’m building RuruSystems — an independent AI venture focused on systems that think deeper and remember longer. I’m designing the architecture behind MemMapRu (a memory OS for LLMs), KinetRu (a quant signal engine), and GnosisRu (a contextual storytelling platform).
