Manan Agrawal
Student
Manan Agrawal
About Me
Well-qualified Full Stack Developer familiar with wide range of programming utilities
and languages. Knowledgeable of backend and frontend development requirements.
Handles any part of process with ease. Collaborative team player with excellent
technical abilities offering 3 years of related experience.
Enthusiastic data analyst with knowledge of various libraries like numpy, pandas and
scikit-learn. I also have a good understanding of statistical concepts like
hypothesis testing, linear regression and logistic regression. Looking for new
opportunity to level up my skills.
- Age 21
- Residence India
- Address 10/A-7 DK Park Society, Surat
- e-mail mananagrawalbitsp@gmail
- Phone +91-80000 07505
Skills
Resume
Education
2019-Present
BITS Pilani, Pilani CampusMsc. in Economics
BE. Electrical and Electronics
Engineering
Experience
Jul 2024-Present
NielsenMember of Technical Staff 1
Slashed AWS operational costs by 80% through deep‑dive resource optimization and infrastructure streamlining.
Automated 90% of AWS deployments with Terraform and Gitlab CI/CD, leading to faster, more reliable, and scalable
releases.
Re‑architected a core client onboarding service built on Python and Kubernetes, transforming it into a highly
flexible, configuration‑driven model, streamlining the end‑to‑end onboarding process by 70%.
Engineered a full‑stack internal platform using React and FastAPI, decreasing new team member setup time by 80% and
boosting
overall operational efficiency.
Jul 2023-Dec 2021
Amazon Development CentreSoftware Development Engineer Intern
Boosted response time by 30% by integrating AWS CloudWatch enabling Anomaly Detection alarms during deployment
Created an AWS Lambda exception handler, improving error management by routing message to SQS DLQs based on exception type
Increased test coverage from 33% to 91% by creating over 50 Mockito unit tests for a Spring‑based service.
May 2021-Aug 2021
MCEME, SecunderabadResearch Intern
Worked on a speech recognition using AI to understand human speech and
convert speech to text.
Developed Chinese text to Hindi text translator with LSTM based
model with a maximum BLEU score of 0.32.
Oct 2020-Dec 2020
iLRNU Inc.Fullstack Developer
Worked with the team on the 2.0 update of the website refactoring the current
design and adding new features
Migrated website database from mySQL to mongoDB collections.
Jan 2021 - May 2021
Student Welfare DivisionSoftware Developer
Developed a portal for BITS Pilani for registrations for MCN
scholarship offered by the institute.
Improved the user experience of approximately 5000 students
applying for MCN scholarship.
Coding Skills
Python
Javascript
HTML/CSS
AWS
Java
C++
Design Skills
Web Design
Print Design
Coursework
- Machine Learning
- Deep Learning
- CNN
- Web Development
- App Development
- Econometric Method
- Finance and Accounting
- Derivatives and Risk Management
Projects
Mar 2022-Present
IndependentWork Distraction Analysis using Deep Learning
- Working on a system to detect and analyze the work productivity graph through user browser, app usage activity and show recommendation to improve productivity.
- Aiming for building a real time software that can analyze the user's work productivity and distraction activities and giving a recommended plan to increase his/her productivity
May 2021 - Aug 2021
IndependentGoogle BERT model on Squad Dataset
- Achieved an EM score of 86.9 and an F1 score of 93.15 by implementing google BERT on the SQuAD dataset.
- Optimized the model to process long context document
Sept 2021 - Present
Prof. Pratik NarangDrone-based monitoring of Indian roads
- Implemented a system to detect road damages using drone images
- Collected dataset using drone for real time prediction of road cracks.
- Implemented the current design using the GANs, CNN and Detr object detection algorithm, the final deployment will be in python.
Certificates
Deep Learning Specialization
