Rohit S.

Senior Software Engineer

Delhi, India5 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Achieved 10× faster execution in data processing.
Reduced production issues by 40% through mentorship.
Architected scalable microservices for real-time notifications.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Healthcare and SaaS industries.

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Skills

Core Skills

Cloud ComputingSoftware InfrastructureSolution ArchitectureMachine LearningWeb DevelopmentAgile Project ManagementData Science

Other Skills

Docker ProductsAWS CloudFormationPerformance OptimizationData PipelinesPythonData ProcessingAWS EC2WebSocketLLMsRAGR ShinyReactTest AutomationPerformance BenchmarkingReact.js

About

Senior Software Engineer with 5 years of experience delivering scalable, secure, and cost-efficient cloud architectures. Skilled in data pipelines, back-end services, interactive dashboards, and client-facing applications with strengths in performance optimisation, infrastructure automation, and mentoring teams. Adaptable and business-driven, well-versed in collaborating with clients to translate needs into software that improves reliability and scale, while also driving revenue growth and securing contracts.

Experience

5 yrs 4 mos

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 3 mos

Current Experience

Elucidata

3 roles

Senior Software Engineer

Promoted

Jun 2024 – Present · 1 yr 11 mos

Optimized KEGG pathway rendering pipeline, reducing full render time from 22 mins to under 1 min (95.5%+) and UI filter latency from 15 mins to <1 second (99.9%), significantly enhancing user experience.
Migrated critical graph generation logic from R to Python, achieving 10× faster execution, 80% lower memory usage, and enabling processing of 100K+ biomedical entities across 1,000+ pathways.
Single-handedly architected and shipped a high-speed, reusable Redis + WebSocket notification microservice (AWS EC2, VPC security groups, CI/CD): delivers sub-100ms real-time push updates from any backend to users, architected to scale to 100K+ notifications per day across multiple production apps.
Diagnosed and fixed a major memory leak in tooltip rendering, reducing memory consumption by 90% and preventing Shiny app disconnects on server.
Built and deployed production-grade GenAI apps leveraging LLMs, RAG, vector databases (FAISS/ Qdrant), and prompt engineering for real-time semantic search and summarization on domain-specific data.
Developed 10+ interactive dashboards using R Shiny and React, including a data explorer for a Yale University research project, later published in a peer-reviewed biomedical journal.
Mentored and led a team of 3 engineers; introduced test automation (85%+ coverage), performance benchmarking, and code reviews, reducing production issues by 40%.
Hardened infrastructure security: implemented HIPAA/GDPR-compliant data handling across S3, RDS, VPC, passing a third-party security audit with zero critical findings.

Docker ProductsAWS CloudFormationCloud ComputingSoftware Infrastructure

Software Engineer II

Promoted

Jan 2023 – Jun 2024 · 1 yr 5 mos

React.jsSolution ArchitectureWeb Development

Software Engineer I

Feb 2022 – Jan 2023 · 11 mos

AWS LambdaAgile Project ManagementCloud Computing

Ignite solutions

Software Engineer

Jan 2021 – Feb 2022 · 1 yr 1 mo · Pune District, Maharashtra, India · Remote

Built demand-forecasting pipelines (Python, Airflow) reducing MAPE by 15% for 500K retail energy meters.
Modelled 100M credit-card transactions, boosting upsell precision to 90% in pilot region.
Created Flask-based recruitment portal integrated with Google Workspace, cutting hiring cycle time by 30%.

PythonMachine LearningData Science

Interviewbit

Software Engineer Intern

Aug 2019 – May 2020 · 9 mos · India

Implemented an end-to-end auto-suggestion system (NLP based) for queries in Python and deployed the model as a REST-API on AWS EC2 using a WSGI Server. The proposed system drastically reduced the query resolution time of 72% of students from 2 days to 13.3 minutes (average).
Developed an NLP tool to calculate the percentage of code and text in a sentence to avoid the plagiarism in TA’s responses and eventually increase the overall interaction of students and Teaching Assistants.
Wrote scripts to send emails and migrate 1500+ students from Flock to open-source platform Mattermost.
Revamped InterviewBit’s webpages and worked on content creation of Data Science, Machine Learning and Deep Learning.

Upgrad.com

Data Science Intern

Jun 2019 – Jul 2019 · 1 mo

upGrad is an online higher education platform providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry.
Fostered 200+ students to improve their skills by providing clear, positive and line-by-line actionable feedback on their submitted projects using upGrad’s code review tool for data science and machine learning courses.

Mygov india

Data Analyst Intern

Jun 2018 – Jul 2018 · 1 mo · Greater Delhi Area

Analyzed sentiments of public on different government policies and campaigns on social media.
Exported over 4000 tweets with Twitter API and built a hybrid solution to classify each tweet as positive or negative with KNN algorithm.