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Srihari Unnikrishnan

I’m a data science professional with a strong foundation in statistics, machine learning, and data analytics. I specialize in transforming complex datasets into meaningful insights and building predictive models that support data-driven decision-making. With experience working across data analysis, model development, and visualization, I focus on solving real-world problems using modern data science tools and techniques. I enjoy exploring patterns in data, optimizing analytical workflows, and delivering insights that help organizations make smarter strategic decisions.

  • Role

    Deep Learning Researcher & Ai Research Scientist

  • Years of Experience

    4.6 years

Skillsets

  • React Native
  • NLP
  • Prompt Engineering
  • OpenAI APIs
  • semantic search
  • Data Science
  • Feature Engineering
  • LLMs
  • Web Scraping
  • LLM Inference

Professional Summary

4.6Years
  • Jan, 2026 - Present 5 months

    Lead AI Engineer

    Vault22
  • Jul, 2025 - Dec, 2025 5 months

    Researcher

    Microsoft
  • Apr, 2025 - Jun, 2025 2 months

    Quantitative Researcher & Developer

    2Cents Capital

  • Quantitative AI Engineer and Consultant

    Self-Employed
  • Jul, 2024 - Jan, 2025 6 months

    Data Scientist

    Sony Research India

Applications & Tools Known

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    WebSockets

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    MLOps

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    React Native

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    Azure Cloud

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    Figma

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    AWS Lambda

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    Linux

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    CMake

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    Pandas

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    Tensorflow

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    OpenCV

Work History

4.6Years

Lead AI Engineer

Vault22
Jan, 2026 - Present 5 months

Researcher

Microsoft
Jul, 2025 - Dec, 2025 5 months
    Working on NLP-based deep learning projects.

Quantitative Researcher & Developer

2Cents Capital
Apr, 2025 - Jun, 2025 2 months
    Developing strategies for crypto trading, risk analytics, and algorithmic trading.

Data Scientist

Sony Research India
Jul, 2024 - Jan, 2025 6 months
    Developing deep learning models for customer forecasting.

Quantitative AI Engineer and Consultant

Self-Employed

Achievements

  • Vice-President of Confluence of Digital Experts(CODE) Junior Executive of Robotics Department(2016-2017)
  • 1.
  • Google Code-In Finalist (2018) For FOSSASIA Organization among 3124 participants.
  • Rank in National Cyber Olympiad(2017) Uttar Pradesh and Uttrakhand Zone.
  • Vice-President of the Confluence of Digital Experts (CODE), Apeejay School NOIDA. Delhi-NCR s biggest IT Symposium.
  • 3rd Prize Winner at ZBCs Techvilla hackathon among 250 participants for building a fire mitigation system.
  • Google Code-In Finalist For FOSSASIA Organization among 3124 participants.
  • Rank 4 in National Cyber Olympiad (Uttar Pradesh and Uttarakhand Zone)
  • Vice-President of the Confluence of Digital Experts (CODE) at Apeejay School NOIDA

Major Projects

5Projects

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning

    Developed synthetic bond yield data and improved forecasting accuracy using CausalGANs and reinforcement learning techniques.

Momentum-Based Portfolio Optimization using Schurs Complement

    Created a momentum trading strategy for S&P 500 stocks using advanced optimization techniques.

Sentiment-Driven Predictive Modeling of Stock Index Prices

    Analyzed tweets and news articles to predict stock index prices using LSTM neural networks.

Credit Risk Model and Scorecard using Python

    Enhanced credit risk analysis and efficiency using PCA and logistic regression.

Fire Detection using Deep Learning - FireGuardian AI

    Developed an innovative fire detection system combining visual object detection and sensors.

Education

  • BTech CSE w/ Artificial Intelligence and Machine Learning

    Vellore Institute of Technology - Chennai (2025)