Sri Pardha Chidella

Software Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Experienced in developing deep learning applications.
Strong background in software development across multiple industries.
Proficient in both frontend and backend technologies.

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and deep learning technologies.

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Skills

Core Skills

Deep LearningWeb Development

Other Skills

Natural Language ProcessingFlaskJavaScriptMachine LearningData StructuresAlgorithmsObject-Oriented Programming (OOP)Analytical SkillsComputer NetworkingC++Python (Programming Language)AnacondaJavaC (Programming Language)Assembly Language

Experience

5 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 10 mos

Current Experience

Google

Software Engineer III

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India

Jpmorgan chase & co.

2 roles

Sr Software Developer / Quant Research Associate

Promoted

Feb 2024 – Jul 2024 · 5 mos · Mumbai, Maharashtra, India

Software Developer / Quant Research Analyst

Jul 2021 – Jan 2024 · 2 yrs 6 mos · Mumbai, Maharashtra, India

Harness

Software Engineer Intern

Jan 2021 – Jul 2021 · 6 mos · India

Birla institute of technology and science, pilani

3 roles

Teaching Assistant

Aug 2020 – Dec 2020 · 4 mos · Goa, India

Teaching Assistant in Neural Networks and Fuzzy Logic

Teaching Assistant

Jan 2020 – May 2020 · 4 mos

Teaching Assistant in Microprocessors and Interfacing

Teaching Assistant

Jan 2020 – May 2020 · 4 mos

Teaching Assistant in Object Oriented Programming

Adobe

Product Intern

May 2020 – Jul 2020 · 2 mos · Noida, Uttar Pradesh, India

Worked as part of the creative cloud department.
Developed a deep learning based search engine to suggest relevant creative cloud apps based on user query using natural language processing.
Developed a host API to call the model and created a user interface for the user to access the search engine. Also created a sqlite database to store user feedback.
The project involved working on various neural network frameworks as well as working on Flask and JavaScript to create user interface.

Deep LearningNatural Language ProcessingFlaskJavaScriptWeb Development

Igib

Summer Intern

May 2019 – Jul 2019 · 2 mos · Delhi, India

Developed a text mining method that could find relations between the various biologically important terms in a given set of abstracts.
The algorithm made use of PubMed.mineR library and drew inspiration from Google's PageRank algorithm, Swanson's ABC model, Test of Significance among other things.