Manan Agrawal
Software Engineer
Building scalable solutions with cloud & AI
Manan Agrawal
About Me
I am a software engineer standing at the intersection of Application Development, Cloud Automation, and Artificial Intelligence. I don't just build applications; I architect the automated infrastructure that runs them and the AI models that power them.
Currently serving as Member of Technical Staff at Nielsen, where I focus on architecting secure, scalable serverless platforms and streamlining cloud operations. My expertise spans Enterprise Architecture & Scale, building systems that handle massive data loads with high availability, Cloud Automation & DevOps with Infrastructure as Code and operational excellence, and Artificial Intelligence & Research, bridging the gap between research and production.
I am passionate about building intelligent systems that scale. Let's connect!
- Location Gurgaon, India
- Email mananagrawal26@gmail.com
- Phone +91 8000007505
- Current Role Member of Technical Staff at Nielsen
Skills
Resume
Education
Aug 2019-Jul 2024
BITS Pilani, Pilani CampusM.Sc. Economics
B.E. Electrical & Electronics Engineering
Dual Degree Program - CGPA: 7.71/10
Merit-Cum-Need Scholarship (Top 10% of students)
Relevant Coursework: Probability and Statistics, Computer Programming, Object Oriented Programming, Operating Systems
Experience
Jul 2024-Present
NielsenMember of Technical Staff 1
Spearheaded the architecture of the enterprise SEI Self-Service Portal using Next.js and AWS Serverless, enabling secure ingestion of 500MB+ datasets while achieving 99.9% system availability.
Engineered a real-time validation engine using AJV and TypeScript that enforces strict schema compliance, reducing downstream data errors by 85% and manual processing overhead by 80%.
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%.
Jul 2023-Dec 2023
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.
Worked with Java Spring Boot, AWS services (Lambda, SQS, CloudWatch), and implemented monitoring solutions
May 2021-Jul 2021
MCEME, SecunderabadResearch Intern
Fine-tuned Mozilla DeepSpeech and LSTM models for Chinese-to-Hindi transcription and translation, achieving a 0.32 BLEU score.
Deployed the models end-to-end by integrating them with a Python-based GUI and IoT devices to enable real-time usage.
Sep 2020-Dec 2020
iLRNU Inc.Fullstack Developer Intern
Collaborated with the team on the 2.0 update of the React.js website, revamping the design and introducing new functionalities.
Enhanced the user-friendliness of the main website, leading to a 20% surge in daily user count.
Conducted a seamless migration of the existing Node.js-written MySQL database 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.
Programming Languages
Frameworks & Tools
Cloud & DevOps
Core CS Concepts
- Data Structures & Algorithms
- Object-Oriented Programming
- Operating Systems
- System Design
- Machine Learning
- Deep Learning
- Cloud Architecture
- Microservices
Projects
Aug 2022-Jul 2023
Dr. Byomakesh DebataUnderstanding Impact of Managerial Tone on Firm Value
- Analyzed annual reports from over 500 NSE-listed companies using text-to-numerical analytics
- Attained a 91% accuracy in utilizing a fine-tuned finBERT model to discern the correlation between managerial tone and Firm Value
May 2022-Jul 2022
BITS Pilani OfficialHostel Allocation Portal
- Only official sub-domain of BITS Pilani to be entirely managed by students
- Engineered a Dockerized system (Vue, Node, PostgreSQL) utilizing Google OR-Tools to optimize allocation for 5,000+ students
- Reduced allocation process from 20 days to <5 minutes, saving 10,000+ man-hours across 15+ hostels
Jan 2022-Apr 2022
Dr. Pratik NarangEnhancing UAV-Captured Pavement Imagery in Poor Visibility
- Created a cutting-edge deep learning pipeline for pavement health monitoring, overcoming limitations in low-visibility conditions
- Attained 93.34% accuracy with an inference time of 0.154 sec, offering efficient solutions for road health monitoring tasks
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
Position of Responsibility
Aug 2021-Jul 2022
Department of Visual Media, BOSMCoordinator
- Led a 35-member technical team to architect the BPL 2022 website using React and Django
- Implemented secure payment gateways to process 1,500+ team registrations for a festival exceeding 100,000 footfall
May 2021-May 2022
NSS BITS PilaniCoordinator
- Spearheaded a cross-functional team of 6 to develop the official organization website using React.js
- Orchestrated the chapter's first online educational initiative for students in grades 6–10
Certificates
Deep Learning Specialization
