Chaitanya Agrawal

Software Engineer

Delhi, India2 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Strong foundation in Machine Learning and Computer Science.
Experience in developing AI-driven projects.
Proficient in multiple programming languages and frameworks.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Data Processing.

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Skills

Core Skills

JavaMicroservicesIos DevelopmentPythonNatural Language Processing (nlp)Computer Vision

Other Skills

Spring BootSpring FrameworkPrometheus.ioRedisApache KafkaGrafanaGoogle BigQueryGo (Programming Language)MongoDBSwift (Programming Language)Core DataAgile MethodologiesFastAPILangChainPython (Programming Language)

About

I'm completed my btech from IIT Delhi majoring in electrical Engineering. My core interests lie in Quantative Research, computer science and Machine Learning. addition to these, I enjoy new technology, problem-solving and playing outdoor sports.

Experience

2 yrs 4 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Meesho

SDE-I

Jun 2025 – Present · 11 mos · Bangalore Urban, Karnataka, India · On-site

Spring BootSpring FrameworkJavaPrometheus.ioRedisApache Kafka+5

Air india limited

Software Development Engineer

Nov 2024 – May 2025 · 6 mos · Gurugram, Haryana, India · On-site

Swift (Programming Language)iOS DevelopmentCore DataAgile Methodologies

Evva health

Software Engineer Intern

Sep 2024 – Oct 2024 · 1 mo · San Francisco Bay Area · Remote

FastAPILangChainPython (Programming Language)MongoDBNatural Language Processing (NLP)Microsoft Azure+3

Samsung r&d institute india

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India

Worked with AI Visual Intelligence team on a Deep Learning-Based Unsupervised Human Facial Retargeting project
Analyzed multiple research papers and thoroughly examined the use of StyleGan2, e4e inversion, and the 3DMM model
Implemented Mask network comprising N sub-networks that operates on the difference between source and target style code
Utilized the properties of 3DMM model to extract 2D landmarks points and 3D shape model to calculate reenactment loss

ProgrammingPython (Programming Language)Computer VisionStyleGANOpenCVPyTorch+1

University of toronto

Research Internship

May 2022 – Jul 2022 · 2 mos

Worked on the Twitter Discourse analysis of the topic Super Bowl between three different countries over the last 5 years
Did Literature review, Utilized Tweepy to access the Twitter API to gather data including Superbowl-related keywords
Implemented LDA model using Gensim & spaCy python libraries and used the pyLDAvis to visualize topic modelling results
Constructed the Trend Graph, based on the Occurrence Rate of Each Topic and based on Each Keyword in the Topic X

TokenizationPython (Programming Language)Latent Dirichlet AllocationNatural Language Processing (NLP)Python