About me

Hey! I'm Akshit, an Engineering Physics undergrad at IIT Delhi with a minor in Computer Science & Engineering.

Currently a Research Intern at Harvard University working with Prof. Yilun Du on multi-agent systems. I'll be joining NK Securities as a Quantitative Researcher this summer.

I'm passionate about Quantitative Finance, AI/ML, Agentic Systems, and Backend Engineering. I love building things that work — from trading algorithms to LLM pipelines to full-stack applications.

Pedigree & Backgrounds

Technical Team: IIT Delhi Engineer (Physics + CS)

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

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Resume

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Education

  1. Indian Institute of Technology Delhi

    2023 - present

    B.Tech in Engineering Physics

Achievements

  1. NK Securities Scholarship Winner

    2025

    Awarded ₹1,25,000 and pre-placement internship opportunity • Nationwide Winner

  2. Citadel Invitationals Asia 2025

    2025

    Top 60 in Asia for Citadel's trading invitational event

  3. Goldman Sachs Hackathon 2025 Finalist

    2025

    Top 25 nationwide • Received Quant Analyst Internship

  4. Competitive Programming

    Codeforces

    Peak rating of 1979 (Candidate Master) • 3x Hacktoberfest Winner

  5. JEE Advanced 2023

    All India Rank 2563

    Among 200k+ candidates

  6. KVPY 2021 (IISC)

    All India Rank 1197

    Among 100K+ candidates

Experience

  1. NK Securities — Quantitative Researcher Intern

    Summer 2026 (Upcoming)

    Pre-Placement Internship Offer • Nationwide Winner of NK Securities Scholarship (₹1,25,000)

  2. Harvard University — Research Intern

    Present

    Advisor: Prof. Yilun Du | Mentor: PhD Student Zhenting Qi
    • Working on multi-agent LLM systems to study the break-even point where coordination overhead yields net gains over single-agent models
    • Designed architectures with conditional, disagreement-triggered retrieval to reduce token and latency costs
    • Contributing toward a research paper based on this work

  3. tradeInsightAI — Quantitative Researcher Intern

    Apr 2025 — Jul 2025

    • Developed a modular Bayesian Online Change Point Detection (BOCPD) pipeline in Python to detect regime shifts in 1-second high-frequency stock data
    • Achieved 2–7 ms inference per tick via pruning-based BOCPD variants; detected 15–20 changepoints/day on AAPL and ES futures
    • Enabled regime diagnostics through interactive Plotly visualizations

  4. Carnegie Mellon University — Research Intern

    Jan 2025 — Apr 2025

    Advisor: Prof. Prasad Chalasani
    • Designed an agentic LLM pipeline using Langroid + Gemini to infer user interests from Bluesky likes and follows
    • Built tool-enabled multi-agent systems for topic classification and summarization across large social timelines
    • Automated daily digests and CLI workflows via GitHub Actions

  5. Georgia Institute of Technology — Research Volunteer (ML)

    Winters 2024

    Received Letter of Recommendation for contributions to machine learning research

  6. Shipd by Datacurve (YC W24) — Python Problem Solver

    Summer 2024

    Designed and created DSA problems for the platform Shipd, used to train Large Language Models

Portfolio

  • Microservices Architecture

    Microservices Architecture

    Modern scalable web development microservices implementation
  • Pokéseek Bot

    Pokéseek Bot

    Reinforcement learning agent trained to navigate and play effectively
  • Clover Study Agent

    Clover Study Agent

    AI-powered study agent that extracts and processes PDF documents
  • Vibe-OS

    Vibe-OS

    Online artificial intelligence operating system equipped to perform complex automated tasks
  • Exotic Option Pricing

    Exotic Option Pricing

    Monte Carlo Simulation • Goldman Sachs Hackathon 2025
  • Multi-agent LLM Systems

    Multi-agent LLM Systems

    Harvard University Research
  • BOCPD Trading

    BOCPD Regime Detection

    High-Frequency Trading • tradeInsightAI
    Developed a modular BOCPD pipeline with 2-7ms inference to detect regime shifts in high-frequency data.
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    Contact

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