Work

Experience across startups, research labs, and academia.

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Industry

Founding AI Engineer05/2025–10/2025
QX Labs, London, UK
  • Architected and built a production agentic knowledge-graph for private-equity workflows supporting multi-hop natural-language queries, streaming responses and multi-database storage (graph, vector, NoSQL).
  • Designed an agent orchestration layer for query routing, async execution and optimized database query generation for multi-hop queries.
  • Built scalable ETL and ingestion pipelines with ~3 million company records from NoSQL into Neo4j, for periodic updates to the knowledge graph.
  • Developed graph-based recommendation algorithm (attribute bucketing + weighted seed expansion); reduced recommendation & query latency from 42s to 10–12s.
Founding AI Engineer01/2025–07/2025
Unsiloed AI (YC F25), San Francisco, CA
  • Built extraction, classifier, splitter APIs, document chunking strategies, all with streaming support for Fortune 500 firms.
  • Fine-tuned vision models (YOLOv11) for document-layout segmentation (10 classes) and optimized inference across OpenVINO / TensorRT / ONNX runtimes for CPU/GPU deployment.
  • Trained and benchmarked field-extraction models on 10k+ financial reports and SEC filings; developed an evaluation suite and achieved top performance vs competitors.
  • Implemented spreadsheet-encoding techniques for robust LLM-ready extraction (merged cells, cap tables) and a human-in-the-loop pipeline to continuously improve labels and model quality.
Tech Lead10/2024–07/2025
Covenants PharmaChem
  • Building an AI platform for end-to-end procurement automation.
Developer Analyst Intern06/2023–08/2023
Predoole Analytics
  • Built an email-generation API for personalized outreach; integrated Apollo.io data-fetch APIs.
  • Tech stack: Flask, LangChain, OpenAI API, Python.

Research

Research Mentee (selected collaborations & independent work)09/2024–01/2025
Massachusetts Institute of Technology · Tsinghua University · University of Amsterdam
  • MIT: Replicated and extended parts of the Canonical Representation Hypothesis (CRH) work (delayed generalization + representation dynamics); informal mentorship from an MIT postdoctoral researcher.
  • Tsinghua: Literature reviews in 3D reconstruction and generation.
  • UvA: Collaborated with the Parallel Computing Systems Lab, focusing on multi-modal models.
Research Intern08/2024–01/2025
IIT Bombay
  • Spin-Neuro-Quantum-AI Group: Developed and implemented spiking neural networks for German Speech classification. Tech stack: Python, snnTorch, PyTorch, NumPy, Pandas.
  • Real-Time Early Fault Detection: Built a real-time fault detection system predicting faults in electromagnetic machines via digital signal and magnetic flux analysis. Tech stack: Python, PyTorch, Librosa, SciPy, Pandas, DSP.

Academia & Community

Teaching Assistant, Advanced Algorithms and Complexity09/2024–12/2024
Bachelor's — Computer Engineering
  • Led problem-solving sessions and mentored 16 master's students, enhancing their grasp of advanced algorithms.
  • Designed problem sets based on research papers and lectures to promote critical thinking beyond the curriculum.
Coordinator11/2022–12/2023
IEEE CS Student Chapter, S.P.I.T.
  • Coordinated events, meetings, conferences, hackathons, and competitions to ensure smooth operations.
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“Game Is Game.”