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Lead Backend Engineer and ML Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I like building smart and scalable cloud-native web services, applications and analytical systems using statistical and ML models.
Georgia Institute of Technology
Master of Science in Computer Science, Machine Learning
January 1, 2018 – January 1, 2019
University of Washington
Professional Master’s Program , Computer Science
January 1, 2017 – January 1, 2017
Vivekanand Education Society's Institute Of Technology
Bachelor’s Degree, Computer Engineering
January 1, 2008 – January 1, 2012
Senior Software Engineer / Technical Lead
January 1, 2022 – Present
Amazon
Software Development Engineer
January 1, 2016 – January 1, 2021
Greater Seattle Area
Accenture
Software Engineer
January 1, 2012 – January 1, 2015
Analogy Task Solver
April 1, 2017 – August 1, 2017
Used different word vector approaches (GloVe, word2vec) with different dimensions to solve analogy tests from Mikolov’s analogy dataset and reported on the best performing approach.
Evaluating performance of Unigram, Bigram, Trigram language models
April 1, 2017 – August 1, 2017
Implemented, tuned (hyper-parameters) and evaluated performance of different language models such as Unigram, Bigram, Trigram – with and without Katz Back off.
Machine or Human?
April 1, 2017 – August 1, 2017
Built a Machine Translation system to classify whether a translation is human or machine created.
Part-of-Speech Tagger
April 1, 2017 – August 1, 2017
Built a Bigram and Trigram HMM for POS Tagging using Viterbi algorithm.
Sentiment Analysis on Tweets (Neural Network)
April 1, 2017 – August 1, 2017
Implement a model for performing sentiment analysis on Tweets using Feed Forward Neural Network.
Flight Search Engine
April 1, 2015 – Present
Designed and implemented a Search Engine allows users to query for flights using advanced queries that support searching for flights in a range of arrival and departure dates, total trip time, etc. The project uses Selenium WebDriver to extract the flight options. The different options are then parsed and filtered based on the user's query.
E-governance for Rural Healthcare
January 1, 2012 – Present
Led a team of 3 members to design and and develop a set of tools for public health professionals to conduct outbreak investigations and manage databases for public health surveillance.
Event ticketing with Dynamic pricing
April 1, 2011 – Present
Event ticketing system that dynamically sets the ticket prices based on a wide range of factors such as the weather, popularity of the event, contemporaneous events, etc.
1Z0-051 Oracle Database 11g: SQL Fundamentals
Oracle
June 24, 2026 – Present
2014 Level I CFA
CFA Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Machine Learning and Natural Language Processing, which, while demonstrating strong analytical and problem-solving skills, does not directly align with the 'Android Developer' target role. The professional experience at Google and Amazon as a Senior Software Engineer/Technical Lead indicates a strong fit for a high-performance, innovative culture. However, the lack of explicit Android development experience in both professional roles and personal projects suggests a potential mismatch for a dedicated Android role, unless the role has a significant ML component or is a generalist software engineering role where mobile is one aspect. The diversity of projects shows intellectual curiosity and a broad technical foundation, but the specific focus is not on mobile development.
Soft Skills & Operational Fit
The candidate's experience at Amazon highlights leadership in designing and developing complex systems, mentoring teammates, and performing on-call duties, indicating strong operational ownership and collaboration skills. The description of automating manual processes to reduce customer blast radius and utilizing CloudWatch for instrumentation suggests a proactive approach to system reliability and debugging. The experience at Accenture also mentions leading design and development, conducting code reviews, and owning delivery plans, further reinforcing strong operational and team-oriented soft skills.