Eishkaran Singh

AI Researcher

Gurugram, Haryana, India1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved a benchmark score of 94.7% on SNLI dataset.
Developed a non-invasive glucometer with 98.4% accuracy.
Led AI/ML team at IIT Madras.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on research and development.

Contact

Skills

Core Skills

Large Language Models (llm)FastapiKnowledge GraphsDeep LearningMachine LearningArtificial Intelligence (ai)Speech To TextDevopsImage ProcessingNatural Language Processing (nlp)

Other Skills

AutoCADC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationEnglishGenerative Adversarial Networks (GANs)HTMLHallucinations in LLM’sInfluxDBIntro to SQLLeadershipLong Short-term Memory (LSTM)MATLABMedical Imaging

About

I’m Eishkaran Singh. I do science to data, whatever problem lands in front of me, I’ll figure it out. My work revolves around high-level multi-agent interactions and autonomous decision-making with LLMs, leveraging LangGraph, RAG architectures, and vector databases to build scalable AI-driven solutions. I have hands-on experience in LLM fine-tuning (QLoRA, vLLM), Retrieval-Augmented Generation (RAG), and optimizing NLP pipelines for domain-specific tasks. I’ve worked with research teams at MIT, Stanford, and IIT-Mandi earned a Kaggle Master badge, and developed a habit of learning through experimentation. From noise to narrative, I turn data into something useful.

Experience

1 yr 4 mos

Total Experience

9 mos

Average Tenure

7 mos

Current Experience

Amazon

Applied Scientist I

Nov 2025 – Present · 7 mos · Gurugram, Haryana, India · On-site

Jpmorganchase

Intern

Jan 2025 – Jun 2025 · 5 mos · Mumbai, Maharashtra, India · On-site

Thapar institute of engineering & technology

Guest Lecturer

Jun 2024 – Jul 2024 · 1 mo · Patiala, Punjab, India · On-site

Guest Lecturer at Thapar Summer School. Gave lectures on Deep Learning, GAN’s, LLM’s, Knowledge Graphs.

Deep LearningGenerative Adversarial Networks (GANs)Large Language Models (LLM)Knowledge Graphs

United we care india

Data Science Intern

May 2024 – Dec 2024 · 7 mos · Gurugram, Haryana, India

Achieved a new benchmark of 94.7% on the Stanford Natural Language Inference (SNLI) dataset, surpassing Meta’s previous record with a score of 93.4%
Published papers:
1. First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI
2. The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?

Large Language Models (LLM)FastAPIKnowledge GraphsSFTPEFT

Stanford university

Research Intern

Apr 2024 – Dec 2024 · 8 mos · Remote

Knowledge GraphsLarge Language Models (LLM)Social and Ethical Biases

Massachusetts institute of technology

Research Intern

Nov 2023 – Dec 2024 · 1 yr 1 mo · Remote

Worked under Prof. (Dr.) Hamsa Balakrishnan
1. Currently engaged in independent research focused on mitigating hallucinations in Large Language Models (LLMs), implemented a cost-effective wrapper that provides real-time internet access, enhancing model robustness and reducing the generation of inaccurate outputs while minimizing compute requirements.
2. Developed an approach a reasoning based Large Language Models (LLMs) to solve university-level mathematics problems, establishing a new benchmark of 90.15%, surpassing the previous record of 81.1%

Large Language Models (LLM)Hallucinations in LLM’sZero Shot Prompting

Cosmos iitm

Head of AI/ML

Jul 2023 – Apr 2024 · 9 mos · Chennai, Tamil Nadu, India

Head of AI/Ml
Leading the team of AI/ML in cosmos society of Indian institute of technology Madras

Machine LearningTeam ManagementDeep LearningTeam LeadershipArtificial Intelligence (AI)

Indian institute of technology, indore

Research Intern

Jul 2023 – Dec 2023 · 5 mos · Remote

Research under Prof. (Dr.) Chandresh at Indian institute of technology Indore

Speech to textText-to-Speech Synthesis

Thapar institute of engineering & technology

2 roles

Guest Lecturer

Jun 2023 – Jul 2023 · 1 mo · Patiala, Punjab, India

Invited as a guest lecturer in Thapar summer school to deliver lectures on topics of image processing, GAN’s, deep learning, NLP and LLM’s

Image ProcessingLarge Language Models (LLM)Deep LearningNatural Language Processing (NLP)Generative Adversarial Networks (GANs)

Research Intern

May 2023 – Nov 2023 · 6 mos · Patiala, Punjab, India

Working under the supervision of Prof. (Dr) Sachin Kansal
Working on the research of human activity recognition where in developed the data generators for processing of large numbers of images and implemented various ML/DL Models on it

Machine LearningImage ProcessingDeep Learning

Indian institute of technology, mandi

Research Intern

Jun 2023 – Dec 2023 · 6 mos · On-site

Research intern under Prof. (Dr.) Varun Dutt at Indian institute of technology Mandi
1. Migrated local workflows to server environments using automation and DevOps, developed asynchronous functions with FastAPI, and applied machine learning algorithms for improved predictive accuracy
2. Achieved an mean accuracy if 98.4% for Glucobreath
Papers Published
1. GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath

Machine LearningDevOpsInfluxDBFastAPI