Eshaan Agarwal

AI Researcher

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed PromptWizard with over 3k GitHub stars.
Ranked fifth at Citadel AI Terminal competition.
Fluent in German, English, and Hindi.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI research and software development.

Contact

Skills

Core Skills

LlmsFine TuningPrompt EngineeringQuantitative AnalyticsMarket MakingSoftware DevelopmentDeep LearningComputer VisionData Analysis

Other Skills

Agent-based ModelingAgentic FrameworkAlpha GenerationAmazon Web Services (AWS)Analytical SkillsBootstrapC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer ScienceData ScienceData Structure And AlgorithmsDjangoFinancial Instruments

About

I am IIT BHU Graduate in Electrical Engineering Varanasi, where I have developed a strong foundation in LLMs, NLP, and RL, as well as statistics, finance. I am passionate about applying these skills to solve real-world problems and create positive impact. Currently, I am working as Member of Technical Staff at Oracle. In past, worked as research intern at Microsoft, where I explored the intersection of LLMs, RLHF, and prompt tuning. I have worked with leading organizations and projects, such as GSoC at Mlpack, LFX at Wasmedge, Oracle, and AIS Lab, where I gained valuable experience in scalable software development and integration using Python, Rust, C++, and various other tech stacks. I have also participated in various competitions and achieved national and international recognition, such as ranking fifth at Citadel AI Terminal and among the top 100 at IMC Challenge. I am fluent in German, English, and Hindi.

Experience

Oracle

Member of Technical Staff - OCI

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India

Identity, Access and Management

Pinegap.ai

AI Research Intern

May 2024 – Jul 2024 · 2 mos · Remote

Working on Copilots for Equity Research

Fine TuningLangChainAgentic FrameworkAmazon Web Services (AWS)LLMs

Microsoft

Research Intern

Aug 2023 – Feb 2024 · 6 mos · Bengaluru, Karnataka, India

Built PromptWizard - Efficient Real Time Prompt Optimization Framework (3k+ GitHub Stars)
Working at the intersection of LLMs, RLHF and Prompt Tuning for MSRs Co-Pilot on Education - Shiksha
https://www.microsoft.com/en-us/research/blog/promptwizard-the-future-of-prompt-optimization-through-feedback-driven-self-evolving-prompts/
https://arxiv.org/abs/2405.18369

Information RetrievalFine TuningLangChainAgent-based ModelingAgentic FrameworkResearch Skills+2

The linux foundation

LFX Mentee

Jun 2023 – Aug 2023 · 2 mos · Remote

Integrating Pytorch, Tensorflow in Wasmedge's python runtime using Rust
Wasmedge is a lightweight high performance runtime which rivals Linux containers for cloud native, edge and decentralised applications with almost 10x memory improvements.
Worked as part of LFX Mentee Summer Term 23

Oracle

Member of Technical Staff Intern

May 2023 – Jul 2023 · 2 mos · India · Remote

Worked on developing Retrieval Augmented Generation based Chatbots using LLMs for Product Documentation and Guides.
Skills - LLM Evaluation Benchmark, RAG, Prompt Engineering, Langchain, Fine-tuning of LLMs, CPU based LLM Architectures, Gradio, Streamlit

Information RetrievalFine TuningLangChainAgent-based ModelingAgentic FrameworkResearch Skills+2

Optiver

Optiver Winter Trading School

Jan 2023 – Feb 2023 · 1 mo · Remote

Among 300 students selected India Wide for the Winter Trading School by Optiver in association with IIT Delhi.

Quantitative AnalyticsMarket MakingStatisticsQuantitative FinanceAlpha Generation

Google summer of code

Student Software Developer

May 2022 – Nov 2022 · 6 mos

Selected in the prestigious Google Summer of Code (GSoC) program 2022.
Will be working with Mlpack (fast C++ based machine learning library) on extending Reinforcement Learning Codebase by adding Hindsight Experience Replay (HER), Proximal Policy Optimization (PPO) , and Twin Delayed Deep Deterministic Policy Gradient (TD-3).
Along with this i will be working on creating Procedural Environment Generation Suite for better testing state-of-the-art RL Algorithms using Unity Game Engine.
Techstack and Technologies used -
C++, Unity and Socket Programming, Python, Reinforcement Learning

GitSoftware DevelopmentServer SideTensorFlowRepresentational State Transfer (REST)Deep Learning

창원대학교(changwon national university)

Winter Research Intern

Nov 2021 – Jan 2022 · 2 mos

Worked on Ensemble based Architecture for Real Time Road Semantic Segmentation in Advanced Driver Assistance System (ADAS).
I Implemented variety of algorithms for ensemble like MobileNetV2 , Unet , Unet ++, FCN, DeepLabV2 and combined them using hard pool voting to obtain robust and better results in challenging road terrains like mountains, villages etc.

Data AnalysisGitSoftware DevelopmentComputer VisionResearch SkillsTensorFlow+2

Ureify

Python & ML Developer Intern

Nov 2021 – Dec 2021 · 1 mo

Developed "Resume Upload and Parser" module for extracting and porting users data points to Smart AI-based Resume Builder web platform.
Designed and Implemented Referral and Promo Code System and successfully integrated into the payment Architecture.
Integrated Razorpay webhook to payment microservice to streamline transaction flow for a user.
Combined messaging and email promotion and engagement tools to increase Gross user signups and Monthly Active Users

Data AnalysisGitSoftware DevelopmentServer SideSQLHTML+4