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EK

EISHAAN KHATRI

🏅 1st Rank, Math Dept. 📄 2 Publications 🎓 B.Tech Math & Computing
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01 About Me

I grew up fascinated by two things — mathematics and language. I wanted to understand why equations could predict physical reality and why the same sentence in Hindi and English carried different emotional weight. That curiosity led me to Mathematics & Computing at RGIPT, where I discovered that AI sits exactly at that intersection.

Today, my work clusters around multilingual NLP for code-mixed text, robustness evaluation for vision and VLMs, and applied AI systems such as agents and RAG pipelines. I try to keep the work evidence-backed through datasets, baselines, ablations, error analysis, and reproducible artifacts.

What drives me is the intersection of rigorous mathematics and real-world impact — whether that's reducing LLM hallucinations by 68%, detecting cement plant anomalies from 378K sensor readings, or democratizing AI access for researchers with limited compute.

Currently ranked #1 in Mathematics at my university, with a Minor in Business Consulting that gives me a unique lens on translating technical depth into stakeholder value.

0 GitHub Repos
0 Publications
0 Users Impacted
0 Languages
0 Hallucination Reduction
0 Dept. Rank

02 Experience

Research Analyst Intern

Indian Institute of Management Shillong

Mentor: Dr. Shrawan Kumar Trivedi

May 2025 — Present
  • Researched Explainable AI techniques (LIME, SHAP, attention mechanisms) to detect bias in financial decision systems
  • Improved model accuracy by 15% through XAI-driven interpretability assessments
  • Found chunked visualizations with progressive disclosure increased decision confidence by 23%
  • Created Tableau dashboards translating model explanations into stakeholder insights
  • Co-authoring research paper on explainable AI for financial modeling
XAI LIME/SHAP Python R Tableau

AI Developer Intern

Polka Labs Pte. Ltd. (Polkassembly) — Singapore

May — Nov 2025
  • Built multilingual chatbot platform supporting Discord, Slack, and Telegram with 3,000+ active users
  • Designed multi-agent pipeline with specialized agents for task decomposition and quality assurance
  • Implemented hub-and-spoke architecture reducing platform integration time from 1 week to under 5 hours
  • Developed conversation engine with persistent memory (Mem0) across GPT-4, Claude, and Gemini
  • Created prompt engineering guide adopted by 8-person product team
Multi-Agent AI LLMs Python TypeScript Blockchain

Data Science Intern

Sambin

2024
  • Performed data analysis and built predictive models for business intelligence use cases
  • Developed data pipelines and visualization dashboards for stakeholder reporting
Python Data Science Analytics

AI/ML Intern

Lizmotors Mobility

2024
  • Worked on AI/ML solutions for electric vehicle mobility and optimization
  • Applied machine learning techniques to real-world automotive data
Python ML EV/Mobility

AI/ML Intern

AspireNex

2024
  • Completed structured AI/ML projects covering classification, NLP, and deep learning
  • Built end-to-end ML pipelines from data preprocessing to model deployment
Python Deep Learning NLP

03 Education

🎓 Current

B.Tech in Mathematics & Computing

Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Amethi

2022 — 2026

8.60+ CPI
#1 Department Rank

Minor: Business Consulting

Key Courses: Machine Learning, Deep Learning, Linear Algebra, Probability & Statistics, Optimization, Data Structures & Algorithms, Operating Systems, DBMS

Leadership: OWASP Management Head — led AI security & blockchain initiatives, guided 500+ freshmen

Higher Secondary (Class 12)

Delhi Public School, Hapur

2020 — 2022

JEE Adv. Top 1.5%

Secondary (Class 10)

Delhi Public School, Hapur

2020

96.80% CBSE Score

04 Publications

Elsevier Journal

Target Based Offensive Language Detection in Hinglish

Expert Systems with Applications, Volume 308, May 2026

Eishaan Khatri • Dr. Santosh K. Mishra

  • Constructed and released a 6,800+ instance Hinglish offensive language dataset
  • Designed a span/target-level annotation framework for code-mixed language analysis
  • Achieved high accuracy across pre-trained multilingual models (mBERT, XLM-R, MuRIL)
  • Addresses data scarcity in low-resource, code-mixed language processing
NLP Hinglish mBERT XLM-R Low-Resource
Conference — Poster Presentation

Bridging the Gap: Enhancing and Evaluating Zero-Cost LLMs for Scientific Question Answering

2nd Conference on Applied AI and Scientific ML (CASML 2025)

Eishaan Khatri

  • Engineered neuro-symbolic pipeline integrating Dense Retrieval and Knowledge Graph Grounding
  • Achieved 68% reduction in hallucinations for Physics/Materials Science tasks
  • Explored fairness-oriented validation metrics (FC-PS)
  • Democratizes AI access by optimizing free-tier LLMs for researchers with limited compute
LLMs RAG Knowledge Graphs Scientific QA

05 Projects

CV
Evidence

Source-Preserved Test-Time Adaptation

Reproducible CIFAR-10-C robustness study comparing source-only, BN Adapt, Tent, UG-Tent, and source-mix variants. Source Mix Tent 0.75 reached 82.64% mean accuracy and reduced negative-transfer cases from 5 to 3.

PyTorch TTA CIFAR-10-C Robustness
Read study →
VLM
Evidence

CLIP Robustness Under Shift

Zero-shot CLIP ViT-B/32 evaluation on CIFAR-10-C, CIFAR-100-C, and EuroSAT. The study tracks accuracy collapse, calibration error, confidence gap, entropy, and feature drift under corruption and domain shift.

CLIP VLMs ECE Feature Drift
Read study →
🧪
★ Flagship

OpenEnv — SQL Migration Agent Benchmark

Adversarial evaluation suite for database-engineering AI agents with golden-database grading, live Mermaid ERDs, and 8 SQLite migration tasks.

Python AI Agents RL SQLite
View on GitHub →
🚀
Completed

AI-Dispatcher

Intelligent AI dispatch system for optimizing task allocation and resource management using multi-agent coordination.

Python Multi-Agent AI
View on GitHub →
👁️
Completed

IRMDS — Real-Time Monitoring & Detection

Real-time anomaly detection system using computer vision and edge computing with YOLOv8 for intelligent monitoring on edge devices.

Python YOLOv8 Edge AI Computer Vision
View on GitHub →
🗣️
Completed

Hinglish Text-to-Speech

Code-mixed Hinglish text-to-speech synthesis system, addressing the challenge of bilingual TTS for India's most common conversational language pattern.

NLP Speech Synthesis Hinglish
View on GitHub →
⛏️
Completed

Multi-Agent Subsurface Decision Support

4 specialized agents (Petrophysical, Seismic, Risk/ESG) with auditable JSON artifacts for 100% reproducibility. RAG-based chat interface that cites sources.

Python Multi-Agent RAG
View on GitHub →
💊
Completed

Pharma Commercial Analytics

Forecasting, segmentation & A/B testing on 600K+ pharma transactions across 57 drug categories. Linear/ridge regression, K-means clustering, Tableau/Power BI dashboards.

Python R SQL Tableau
View on GitHub →
📈
Completed

Reliance Stock Price Forecasting

Time-series forecasting study on NIFTY 50 data with gradient boosting, leakage-aware feature engineering checks, and 10+ market features including SMAs, RSI, log-returns, and rolling volatility.

Python R Finance ML
View on GitHub →
🏭
Completed

Cyclone Preheater Anomaly Detection

Industrial sensor analytics on 378K+ rows. 28 domain-informed features, Isolation Forest with temporal smoothing, Z-score root-cause analysis. Power BI dashboards.

Python SQL Power BI Anomaly Detection
View on GitHub →
🌊
Completed

AI-Powered Urban Flood Risk Prediction

Real-time flood prediction with 90% accuracy using geospatial data. Interactive flood maps, evacuation routes, and chatbot serving 40,000+ users.

Python ML NLP GIS
View on GitHub →
🎙️
Completed

Real-Time Multi-Speaker Transcription

85% speaker identification with Siamese networks + SVM. BERT-based embeddings achieving 90% transcription accuracy. Context-aware NLP for speaker turn detection.

Python NLP Speech BERT
View on GitHub →
📝
Completed

Text Summarization with Transformers

Rebuilt summarization benchmark with ROUGE/compression evaluation, batched HuggingFace inference scripts, Lead baseline, and a NumPy mini Transformer from scratch.

Python Transformers ROUGE NLP
View on GitHub →
🎯
Completed

Personalized Recommendation System

Boosted conversion rates by 20% and retention by 30%. Collaborative + Content-based Filtering with TensorFlow, handling 1M+ user interactions.

TensorFlow Python RecSys
View on GitHub →
🎮
In Progress

Deep RL Game Agents

DQN + Actor-Critic from scratch. 87% win rate CartPole, 65% LunarLander across 50K episodes. Prioritized experience replay, adaptive learning rate scheduling.

Python RL DQN
View on GitHub →
🔬
In Progress

Neural Pseudo-Random Number Generation

Hybrid Transformer-LSTM + RL for PRNG. Evaluated against NIST statistical test suites on 100M generated bits. Reward function based on entropy and unpredictability.

Python RL Transformers
View on GitHub →
💰
Completed

Algolia MCP Financial Analyst

Financial analysis tool built for the Algolia MCP Challenge, leveraging AI for automated financial insights and recommendations.

Jupyter Finance AI
View on GitHub →
🌍
Completed

Global Trade Network Visualization

Interactive visualization of global trade networks, revealing patterns and dependencies in international commerce through data-driven graphics.

Jupyter Data Viz Networks
View on GitHub →
📊
Completed

Uncertainty & Robustness Study

Robustness study on physiological signals using uncertainty quantification and physics constraints. Explores neural network reliability in safety-critical domains.

Jupyter Uncertainty Physics-Informed
View on GitHub →

06 Skills & Technologies

💻 Programming Languages

Python R C++ JavaScript SQL Rust Java C Solidity NoSQL Assembly

🧠 ML / AI Frameworks

PyTorch TensorFlow HuggingFace Scikit-learn Keras spaCy NLTK fastText Theano

📊 Data & Visualization

Tableau Power BI Matplotlib Seaborn Snowflake Apache Spark

🔧 Tools & Platforms

Git Docker AWS CircleCI Ethereum

🎯 Core Domains

NLP Data Analytics Computer Vision Reinforcement Learning Explainable AI Financial Modeling Behavioral Science
Expert Advanced Intermediate Familiar

07 Achievements

🥇

1st Rank

Mathematics Department, RGIPT Amethi — CPI: 8.60+

📄

Published Researcher

Expert Systems with Applications journal publication + CASML 2025 conference work

🏆

National Policy Hackathon Finalist

IIM Calcutta & IIFT Kolkata — National-level competition, 2024

🌊

FloodAI Hackathon Finalist

IIEC IIT Gandhinagar — Built AI platform serving 40,000+ users

3-Star Coder

Multiple competitive programming platforms in Python & C

🎯

JEE Advanced 2022

Top 1.5 percentile — AIR ~18,247 among 1.2 million candidates

📚

Class 10 — 96.80%

Delhi Public School, Hapur — Outstanding academic record

🤝

OWASP Management Head

Led AI security & blockchain initiatives, guided 500+ freshmen at RGIPT

08 GitHub & Open Source

Illustrative Activity Map

This visual is a static portfolio illustration, not live GitHub contribution data.

Less More

📚 Learning Garden

I actively study and fork repositories from world-class sources to deepen my understanding. These aren't my original work, but they represent my commitment to continuous learning:

LLMs-from-scratch (Sebastian Raschka) Transformers (HuggingFace) AI Agents for Beginners (Microsoft) CS249r ML Systems (Harvard) Stanford CS336 Lectures STORM (Stanford NLP) LightGBM Data Engineering Zoomcamp IITM GenAI (IISc) CASML Workshop Competitive Programming Algorithms Gurobi Modeling Examples

09 Let's Connect

I'm always open to discussing research collaborations, interesting projects, or career opportunities in AI/ML/NLP.