Dheeraj Kalmekolan

Software Engineer

Seattle, Washington, United States9 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning technologies.
Proven experience in building low-cost technology solutions.
Strong analytical skills with diverse problem-solving capabilities.

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

Contact

kdheeraj784@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningSoftware Development

Other Skills

ANTLRAlgorithmsAmazon Web Services (AWS)Apache AirflowApache PigCC++CSSComputer VisionDigital Image ProcessingDjangoDustFlaskHTMLHadoop

About

Designing efficient, low-cost technologies for common people -- Technology has grown manifold in the past few years. Most modern-day firms have technology at the core of their development. However, I felt that reach of technology has not reached many areas where it can work miracles. Building low-cost technologies were the main reason I ended up taking a Computer Science Undergraduate from I.I.T Bombay. With my Analytical skills, analysing diverse problems from an Olympiad Mathematical problem to the post-game analysis of Manchester United, I always felt that I can achieve my goals. I graduated from Columbia learning the necessary techniques for my goals. I've worked a lot on Deep Learning in Vision, Parsing, Machine Translation and Language Modelling. I'm looking for Challenging problems in Machine Learning and Software Development. Fun facts about me: 1. I play Electric Guitar ( Metal and rock mostly) 2. I do a very good Liverpool accent 3. I write a lot of limericks (mostly naive)

Experience

9 yrs 4 mos

Total Experience

1 yr 6 mos

Average Tenure

4 yrs 7 mos

Current Experience

Snap inc.

Software Engineer L4

Nov 2021 – Present · 4 yrs 7 mos · Seattle, Washington, United States

Working at trust and safety ml. I work on building pipelines for collecting prevalence metrics and labeling for ml models, ocr for training models, self harm detection, active learning and LLM’s

Python (Programming Language)Artificial Intelligence (AI)Apache AirflowTensorFlowPyTorchTorch+2

Amazon

Software Developer

May 2020 – Nov 2021 · 1 yr 6 mos · Seattle, Washington, United States

Working on the API's for the privacy team to redact customer data from Alexa before reaching annotators. Worked on various projects like improving audit reports, onboarding new customers, adding throttling engine, onboarding new models to the team

Artificial Intelligence (AI)

Microsoft

Software Developer

Feb 2018 – May 2020 · 2 yrs 3 mos · Redmond, Washington

Worked in the partner center billing and payments team over API, Data and UI platforms

Columbia university in the city of new york

2 roles

Graduate Teaching Assistant

Sep 2017 – Dec 2017 · 3 mos · New York City Metropolitan Area

Teaching Assistant for Natural Language Processing and Machine Learning for Fall 2017

Graduate Teaching Assistant

Jan 2017 – May 2017 · 4 mos

Teaching Assistant for Machine Learning for Data Science

Paypal

Software Developer Internship

May 2017 – Aug 2017 · 3 mos · San Jose, California

Indian institute of technology, bombay

Teaching Assistant

Dec 2015 – May 2016 · 5 mos · Mumbai Metropolitan Region

- Worked as a Teaching Assistant for the course Introduction to Machine Learning in the Spring semester 2016 under Prof. Ganesh Ramakrishnan for a class of strength 260

Software Engineering Intern

May 2015 – Jul 2015 · 2 mos · Greater Bengaluru Area

Worked in the search team in LinkedIn Bangalore
Designed an application for searching through LinkedIn code using the LinkedIn search API Galene
The application could mimic IDE's like IntelliJ where clicking on an object navigates us to the location of where object is being defined/declared
Implemented Regular Expression search on the application.
Worked on Parsing Java files and collecting required data and metadata for enabling the search
Established a Kafka pipeline and established a platform to account for changes in code periodically in Hadoop file system
Defined and implemented various statistical techniques to account for user behaviour in search in particular for regular expression search

Housing.com

Software Engineering Intern

May 2014 – Jul 2014 · 2 mos · Mumbai Metropolitan Region

Worked in Data analytics team
Designed a Django application to track user drop rate for buy/rent of a property
Worked with MongoDb to handle large user data
Analysed the different metrics like location of user, source of user entry and visualised them using highcharts API's