Harsh Bansal
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer | Ex - Zomato, Goldman Sachs, CPCB
Graduated with a Bachelor of Technology in Computer Science from Amity University, and currently exploring new opportunities in the field of Tech. Last worked as a Software Development Engineer I at Zomato. At Zomato, the focus was on developing and maintaining backend systems for financial processes, including billing, payouts, and reconciliation, utilizing Java, Spring Boot, and AWS technologies. The role emphasized API design, data validation, and production monitoring to ensure seamless operations. Previous experiences include founding OsmFX Mods, where modular, exploit-resistant multiplayer systems for GTA V roleplay servers were developed and scaled. Other notable roles include contributions to Goldman Sachs and CPCB, focusing on backend development. Motivated by impactful work, the primary goal is to build scalable and efficient solutions.
Amity University
Bachelor of Technology - BTech , Computer Science
January 1, 2021 – January 1, 2025
Bhartiya Vidya Bhavan-Delhi Kendra
Non Medical
January 1, 2011 – January 1, 2021
Zomato
Software Development Engineer I
July 1, 2025 – January 1, 2026
Gurugram, Haryana, India · On-site
Zomato
Software Engineer Intern
January 1, 2025 – July 1, 2025
Gurugram, Haryana, India · On-site
Goldman Sachs
Software Engineering Summer Analyst
June 1, 2024 – July 1, 2024
Bengaluru, Karnataka, India · On-site
Central Pollution Control Board (CPCB)
Summer Intern
June 1, 2023 – July 1, 2023
Delhi, India · On-site
OsmFX Mods
Everything
September 1, 2021 – Present
Remote
FiveIQ - Server Intelligence for Intelligent Owners
May 1, 2025 – August 1, 2025
A work-in-progress application for FiveM Server Owners to track their servers, and take intelligent decisions based on data. The tech allows you to track each and every event happening inside a server, providing valuable insights into - economy, player actions, player hopping, script usage, and predictive analysis using AI.
AUP Events
November 1, 2024 – March 1, 2025
A one-stop solution to Events Management, built specifically for my university. Participate, host, and manage events seamlessly within the Amity University Punjab community. Has a wide array of features, including mechanism for handling participation from outside the university in fest events.
SAFEDrive - Smart Automated Fatigue and Elevation Detection Drive System
April 1, 2024 – April 1, 2024
Drowsy driving is a pervasive issue in India, contributing to approximately 100,000 accidents, 71,000 injuries, and 1,550 fatalities annually, as reported by the National Safety Council (NSC). Existing drowsiness detection systems rely only on computer vision, resulting in a critical gap in providing comprehensive solutions to prevent accidents caused by drowsy driving. Moreover, these systems are expensive, costing nearly 10 times more than our solution.
PULSE - Policing Unified Language and Sentiment Evaluation System
October 1, 2023 – March 1, 2024
P.U.L.S.E. stands as a cutting-edge, fully connected integration prioritizing sentiment analysis of genuine police service records, steering clear of any ToS concerns linked to external data scraping. Going beyond mere feedback and service record sentiments, the system delves into comprehensive sentiment analysis of the entire complaint and grievance dataset through the Integrated Complaint Allocation System (iCAS). This innovative approach facilitates the generation of rich, actionable data for department-wide geolocation-based analytics, enhancing decision-making through an intuitive dashboard. 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐟𝐨𝐫 - 𝐂𝐲𝐛𝐞𝐫𝐓𝐇𝐎𝐍 2023 𝐛𝐲 𝐂𝐡𝐚𝐧𝐝𝐢𝐠𝐚𝐫𝐡 𝐏𝐨𝐥𝐢𝐜𝐞 & 𝐈𝐧𝐟𝐨𝐬𝐲𝐬 | 𝐈𝐧 𝐓𝐨𝐩 13 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬
Multivariate Multistep Time Series Forecasting of PM2.5, utilizing ARIMA, SARIMAX, VARMAX, and Stacked LSTM Models
June 1, 2023 – July 1, 2023
Performing future forecasting of PM 2.5 Levels as a part of a project during internship at Central Pollution Control Board. This involved working with large datasets of time-series data, performing analysis, and testing out time-series models. Models tested were ARIMA, SARIMAX, VARMAX and Stacked LSTMs.
Text Classification of Multilingual and code-mixed Complaints involving categorizing complaints into distinct labels using Machine Learning techniques
June 1, 2023 – July 1, 2023
Creating models for automated classification of Complaints received on Sameer App by CPCB, so as to easily and accurately allocate complaints to different departments and further analysis. Complaints were of multilingual nature, and also code-mixed i.e. consisted of Hinglish complaints as well. Further, Named Entity Recognition (NER) combined with Rule Based approach was adopted to extract locations from complaint descriptions, for collection of additional location data related to complaints, and visualizing on a map to identify hotspots of complaints.
Automated Assignment Assessment and Evaluation System using NLP
January 1, 2023 – June 1, 2023
𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐟𝐨𝐫 𝐂𝐨𝐮𝐫𝐬𝐞 𝘊𝘚𝘌209 - 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐮𝐧𝐝𝐞𝐫 𝐃𝐫. 𝐌𝐚𝐧𝐢𝐬𝐡 𝐌𝐚𝐡𝐚𝐣𝐚𝐧 The Automated Assignment Assessment and Evaluation System (AAAES) is a versatile tool that simplifies the often-tedious process of grading student assignments. By leveraging the latest advances in natural language processing, the system can accurately and objectively evaluate student work, saving educators valuable time and effort. The system is designed to handle a wide range of Assignment types, from coding projects to written essays. By streamlining the grading process, it empowers teachers to spend more time providing feedback and mentoring their students, rather than spending countless hours on checking codes or grading papers. Classification Algorithm Used - Random Forest Classifier Quadratic Weighted Kappa Error - 0.629 Dataset Used - ASAP-AES by HP (Kaggle)
Online Exam Slot Scheduling System
November 1, 2022 – January 1, 2023
A dynamic slot selection system for examinations at our University, where students can choose their own slots for appearing in examinations. An Admin Panel is also integrated where all entries can be managed or exported as per requirement. Coded in NodeJS using ExpressJS and MongoDB.
Investigating the effect of COVID19 on AQI Levels of Metropolitans (India) through Statistical Analysis, SARIMAX, ETS and Prophet Models.
September 1, 2022 – February 1, 2023
𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐆𝐮𝐢𝐝𝐞𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 | 𝐏𝐚𝐩𝐞𝐫 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐈𝐉𝐄𝐏 (𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐟𝐨𝐫 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐏𝐨𝐥𝐥𝐮𝐭𝐢𝐨𝐧) Analyzed data on AQI levels in various metropolitan cities in India to study the impact of the COVID-19 lockdown on pollution levels, using various machine learning approaches (SARIMAX, ETS and Prophet Models) to forecast the AQI levels for April to July 2020, observing the average difference of around 33% between forecasted and actual AQI values. Demonstrated the usefulness of machine learning technologies for modeling and predicting the impact of restrictions on pollution levels, providing valuable insights for policymakers and stakeholders seeking to mitigate the environmental impacts of such measures.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from backend systems to AI/ML applications and entrepreneurial ventures, indicates a broad interest and adaptability. The experience at Zomato and Goldman Sachs, both fast-paced and demanding environments, suggests a good fit for a challenging technical culture. The personal projects, especially 'FiveIQ' and 'AUP Events', show initiative and a desire to build impactful solutions. However, the target role is Backend Engineer, and while the candidate has relevant experience, a significant portion of their personal projects lean towards data science/ML, which might indicate a broader interest beyond pure backend engineering. The lack of explicit team collaboration or leadership roles in the provided data limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest strong problem-solving abilities and a proactive approach to learning new technologies. The 'Everything' role at OsmFX Mods indicates entrepreneurial spirit, full product lifecycle management, and client engagement skills. The detailed descriptions of work at Zomato and Goldman Sachs suggest an ability to articulate complex technical contributions clearly. However, without direct assessment data on communication or psychometric tests, a definitive evaluation of soft skills and operational fit is limited.