VikramMarkali
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I'm a Computer Science Master's student at New York University (NYU), actively seeking Fall 2026 SWE internship roles.
My experience spans Java, Spring, full-stack development, distributed systems, and agentic AI pipelines, with a focus on building scalable, efficient, and robust systems.
I love improving user experience of software. I enjoy automating things, just like I automated building and deploying this website using modern web technologies!
My Journey
Professional
Endless Frontier Labs
3 mo
Software Engineer Intern
ActiveNowArchitected agentic AI VC sourcing platform with RAG pipelines that scrape, analyze, and score growing startups against custom investment theses and EFL’s evaluation rubric.
Engineered LangChain orchestration with LLM-based extraction and FAISS vector retrieval for thesis-aligned startup analysis; cut BD research time by 60%.
Built FastAPI and Flask microservices automating operational workflows across sourcing, onboarding, and cohort management; gathered requirements from 30+ portfolio founders to drive feature design.
Worldline Global Services
1 yr 1 mo
Software Engineer
Full TimeArchitected 15+ RESTful APIs using Spring Boot for scalable payment gateway integrations, reducing merchant onboarding time by 40%.
Implemented monitoring, alerting, and rollback mechanisms; achieved 99.9% uptime and zero critical incidents across distributed systems.
Engineered payment processing using Spring Boot microservices; reduced transaction latency 35%, scaled to 10,000+ TPS for tap-and-pay.
Drove Agile/Scrum sprint planning with QA and product teams, delivering bi-weekly releases with unit and integration testing and zero defects
Software Engineer Intern
Implemented payment domain workflows from POC to production; SQL query optimization reduced API response times by 30%.
Developed backend features using Java, Spring Boot, Angular; improved page load 25% and hardened OOP-based auth, cutting unauthorized access 20%.
Maverick Labs Pvt Ltd
1 yr
Software Engineer Intern
Built Java REST API GPS tracking services for Tracko, Transporto, and InfraMachines; improved location accuracy by 40% across 4,500+ concurrent users.
Optimized PostgreSQL queries with Redis caching, cutting data retrieval time by 50%; refactored codebase using OOP principles, reducing server response time by 35%.
New York, NY, USA
3 mo
Endless Frontier Labs
Software Engineer Intern
ActiveNowApr 2026 — Present
Architected agentic AI VC sourcing platform with RAG pipelines that scrape, analyze, and score growing startups against custom investment theses and EFL’s evaluation rubric.
Engineered LangChain orchestration with LLM-based extraction and FAISS vector retrieval for thesis-aligned startup analysis; cut BD research time by 60%.
Built FastAPI and Flask microservices automating operational workflows across sourcing, onboarding, and cohort management; gathered requirements from 30+ portfolio founders to drive feature design.
Pune, India
1 yr 1 mo
Worldline Global Services
Software Engineer
Full TimeOct 2024 — Jul 2025
Architected 15+ RESTful APIs using Spring Boot for scalable payment gateway integrations, reducing merchant onboarding time by 40%.
Implemented monitoring, alerting, and rollback mechanisms; achieved 99.9% uptime and zero critical incidents across distributed systems.
Engineered payment processing using Spring Boot microservices; reduced transaction latency 35%, scaled to 10,000+ TPS for tap-and-pay.
Drove Agile/Scrum sprint planning with QA and product teams, delivering bi-weekly releases with unit and integration testing and zero defects
Software Engineer Intern
Jun 2024 — Sep 2024
Implemented payment domain workflows from POC to production; SQL query optimization reduced API response times by 30%.
Developed backend features using Java, Spring Boot, Angular; improved page load 25% and hardened OOP-based auth, cutting unauthorized access 20%.
Pune, India
1 yr
Maverick Labs Pvt Ltd
Software Engineer Intern
May 2023 — May 2024
Built Java REST API GPS tracking services for Tracko, Transporto, and InfraMachines; improved location accuracy by 40% across 4,500+ concurrent users.
Optimized PostgreSQL queries with Redis caching, cutting data retrieval time by 50%; refactored codebase using OOP principles, reducing server response time by 35%.
Projects
Stellarr
May 2026 – Present
AI-powered job hunting OS automating startup discovery to outreach
Tracks startup signals across target verticals in real time
Finds verified founder/recruiter contacts automatically, drafts cold emails via LLM
Zero-backend architecture, fully automated via GitHub Actions cron (Supabase + Next.js)
ZeroDrive
Apr 2026 – Present
Unlimited free cloud storage powered by Telegram's infra, zero hosting cost
Multi-user system, end-to-end encrypted file storage and transfer
Chunked upload engine handles files of any size reliably
Built on React + FastAPI microservices, 5 independent services
CourseBid Exchange
Aug 2025 – Dec 2025
Full-stack course bidding platform with LLM-powered bid optimization
Auth and data layer serving 1,500+ active students
Session caching keeps p95 latency under 300ms at scale
Real-time bid updates with responsive frontend UI
OrbiNasaSense - Spacecraft Orbital Watch System
Sep 2025 – Feb 2026
Real-time anomaly detection for NASA spacecraft telemetry
Transformer model achieved best F1 on long-range dependency patterns
Automated pipeline with multi-scale normalization and feature engineering
SPPU Result Analyzer
Oct 2022 – Jan 2024
Converts SPPU result PDFs to structured Excel with auto-extracted seat numbers, PRN, names, and SGPA
Subject-wise mark filtering by code with one-click Excel/CSV export for entire batches
Streamlit UI supporting 8+ departments with live PDF preview and interactive data grid
Custom regex pipeline normalizes noisy PDF text, handles missing marks and multi-subject layouts
GitHub Analytics
Jan 2026 – May 2026
Lambda architecture processes 1.2B+ GitHub events via parallel batch and streaming pipelines
Batch layer (PySpark, HDFS) trains a Random Forest model for repo virality prediction
Streaming layer (Kafka, Spark, InfluxDB) delivers predictions at sub-200ms latency
Grafana dashboards unify analytics, deployed via single-command Docker setup
Skills
Languages
7 skills
Frameworks & Libraries
8 skills
Databases & Cloud
6 skills
Developer Tools
7 skills
My Education
New York University (NYU)
MS In Computer Science
New York, NY, USA
Aug 2025 – May 2027
GPA: 3.83/4.0
University of Pune (SPPU)
BE In Information Technology
Pune, India
Aug 2021 – Jun 2024
GPA: 3.82/4.0
Government Polytechnic Awasari, Pune
Diploma In Information Technology
Pune, India
Aug 2018 – Aug 2021
GPA: 3.96/4.0