Hardik Jindal

Consultant

Delhi, India3 yrs 2 mos experience

Key Highlights

Expertise in Large Language Models and Machine Learning.
Developed innovative cybersecurity news retrieval API.
Experience in research and optimization across multiple projects.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI-driven applications.

Contact

Skills

Core Skills

Large Language Models (llm)Machine Learning

Other Skills

AutomationBashC (Programming Language)C++Competitive ProgrammingComputer VisionFlaskFuzzy Clustering AlgorithmGumbel-SoftmaxHuggingFaceKmeansLangchainLearningLinear RegressionLogistic Regression

About

Pursuing Bachelor's in technology focused in Electrical Engineering from Indian Institute of Technology, Kanpur

Experience

3 yrs 2 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Mit sloan school of management

Research Collaborator

Aug 2025 – Present · 10 mos

Optimization and LLMs

OptimizationLarge Language Models (LLM)

Manifold research

OS Research Fellow

Jul 2025 – Present · 11 mos

Working on VLM Calibration project

VLM CalibrationMachine Learning

Indian institute of technology, kanpur

Undergraduate Researcher

Jul 2025 – Present · 11 mos

Working in Machine Intelligence, Learning, Automation and Privacy (MILAP) group with Prof. Sayak Ray Chowdhury

Machine IntelligenceLearningAutomationPrivacyMachine Learning

Oracle

Server Technology Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India

Explored Fuzzy Clustering Algorithm as an alternative for Kmeans algorithm for IVF Indexes, enhancing soft assignment
Developed hybrid pipelines (KMeans+fuzzy and full fuzzy) for dense embeddings using Oracle Database 23ai with IVF indexing
Designed clustering workﬂows with membership matrix generation and centroid reﬁnement for high-dimensional vector data
Benchmarked using datasets like MNIST, GloVe (25,50,100) and LastFM, achieveing about 7% improvement in accuracy

Fuzzy Clustering AlgorithmKmeansOracle Database 23aiMachine Learning

Mit media lab

Research Collaborator

Jan 2025 – Sep 2025 · 8 mos

Analyzed limitations of Gumbel-Softmax and StochasticAD in hybrid discrete-continuous systems via variance diagnostics
Conducted simulations across Markovian and n-ary random walks to quantify gradient instability in long-horizon settings

Gumbel-SoftmaxStochasticADMarkovianSimulationsMachine Learning

C2si

Open Source Developer

May 2024 – Oct 2024 · 5 mos

Maintaining the b0bot project

Google summer of code

Student Developer

May 2024 – Aug 2024 · 3 mos

Developed a RAG based RESTful API in Flask for retrieval of cybersecurity news from 100+ articles by leading news outlets
Transitioned the codebase to open LLMs like LLaMA3, Gemma, MistralAI by integrating a HuggingFace-based endpoint
Integrated Langchain to establish a LLM chain so as to facilitate structured data processing and formatting for news handling
Utilized Pinecone as a vector database in order to efficiently store and significantly reduce retrieval times for data embeddings
Developed unit tests using unittestfor Flask app, validating API functionality, HTTP status code, and response payload integrity

b0bot

Programming club iit kanpur

2 roles

Coordinator

Apr 2024 – Apr 2025 · 1 yr

Secretary

Jun 2023 – Mar 2024 · 9 mos

Msense ai

Software Engineer Intern

Sep 2023 – Dec 2023 · 3 mos · Remote

Experimented with PaddleOCR and EasyOCR frameworks to create customized text detection and recognition models
Conceptualized and integrated a custom training pipeline for text detection and text recognition with MKL-DNN framework
Adjusted parameters such as dilation, angle classifier, batch size, and CPU threads to determine the most optimum techniques

OpenCV