Nilesh Kumar

AI Researcher

Hyderabad, Telangana, India1 yr 4 mos experience

Most Likely To Switch

Key Highlights

Strong foundation in quantitative finance and algorithmic trading.
Proficient in machine learning and natural language processing.
Experience in building tech solutions for academic communities.

Stackforce AI infers this person is a Fintech professional with strong expertise in quantitative analysis and machine learning.

Contact

Skills

Core Skills

Machine LearningSoftware EngineeringNatural Language ProcessingBack-end DevelopmentCloud ComputingQuantitative ResearchFinanceSoftware DevelopmentData Analysis

Other Skills

ASRAWS CodePipelineAlgorithmsAmazon S3Amazon Web Services (AWS)Back-End Web DevelopmentBeautiful SoupBloomberg TerminalC (Programming Language)C++Commodity Risk ManagementComputer VisionCurrencyData StructuresDjango REST Framework

About

Undergraduate at Indian Institute of Technology Kharagpur. Passionate bout problem-solving and Algorithms. As an aspiring quant, I'm deeply interested in quantitative finance, especially high-frequency trading, algorithmic trading, deep/machine learning, financial modeling, and analytics. I'm passionate about exploring how data-driven insights and innovative technologies can shape the future of finance.

Experience

1 yr 4 mos

Total Experience

8 mos

Average Tenure

1 yr 1 mo

Current Experience

Panaroma intelligence solutions

Software Engineer - Machine Learning

May 2025 – Present · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

LLM | ASR | VideoML

LLMASRVideoMLMachine LearningSoftware Engineering

Tower research capital

Software Engineer (Core Ai/ML) Intern

May 2024 – Aug 2024 · 3 mos · Gurugram, Haryana, India · On-site

NLP, LLM Research

NLPLLM ResearchNatural Language ProcessingMachine Learning

Desmantle studio

Back End Developer

Feb 2024 – Apr 2024 · 2 mos · Remote

Using Django Rest Framework for APIs, PostgreSQL for data storage, and AWS S3 for file storage.
Employing AWS CodePipeline and CodeDeploy for CI/CD automation.

AWS CodePipelineDjango REST FrameworkAmazon S3Back-End DevelopmentCloud Computing

Incred asset management & alternative investments

Quantitative Researcher, Hedge Fund Strategies Intern

Mar 2023 – Jul 2023 · 4 mos · Mumbai, Maharashtra, India · Hybrid

Time Series AnalysisTrading StrategiesQuantitative FinanceDjango REST FrameworkBack-End Web DevelopmentQuantitative Research+1

Developers' society, iit kharagpur

Development head

Oct 2022 – Jul 2023 · 9 mos · IIT Kharagpur

Building tech solutions for students community at IIT Kharagpur

Python (Programming Language)Django REST FrameworkProgrammingBack-End Web DevelopmentPostgreSQLGit+2

Chi squarex

3 roles

Chief Executive

Jul 2022 – Oct 2022 · 3 mos

Start-ups

Project Manager

Apr 2022 – Oct 2022 · 6 mos

Machine Learning Engineer

Nov 2021 – Sep 2022 · 10 mos

Python (Programming Language)Scikit-LearnTime Series AnalysisNatural Language Processing (NLP)Amazon Web Services (AWS)TensorFlow+4

Brunel university london pathway college

Research Internship

May 2022 – Jul 2022 · 2 mos

Collected historical data using tweepy API, and web scrapped IUCN and Wikipedia.
Used Tranformers and FinBERT for sentiment classification of tweets related to different species of extinct and endangered species.
Created ml pipeline for data cleaning and preprocessing and sentiment analysis using scikit-learn library.
Tech Stack: PyTorch, scikit-learn, nltk,. spacy, tweepy, google colab

Python (Programming Language)Scikit-LearnNatural Language Processing (NLP)Beautiful SoupPyTorchProgramming+3