Samarth Mahendra
Software Engineer &
Backend Specialist
"Building fast, scalable backend systems. Turning complex data into real-time systems. Designing infrastructure for millions of users."
Tech Stack
Core Expertise
About Me
📍 Currently based in Boston, MA
Passionate about backend systems, distributed architecture, and AI.
I am a Master's student in Computer Science at Northeastern University with a strong foundation in backend engineering and distributed systems. I have experience building scalable applications, optimizing database queries, and integrating AI models into real-world solutions.
Currently, I'm working on a distributed job tracking system scraping 50,000+ records daily. I'm always looking to collaborate on LLM-powered tools and real-time data processing systems.
Education
Northeastern University
MS in Computer Science (Jan 2024 – Dec 2025)
Coursework: Programming Design Paradigms, Algorithms, NLP/ML, Database Systems, Mobile Development, Computer Systems, Software Engineering
Dayananda Sagar College of Engineering
BE in Computer Science (Aug 2018 – Jul 2022)
Skills
🟦 Backend Engineering
Python
Java
C/C++
FastAPI
Django
REST
Node.js
REST APIs
WebSockets
Async I/O
Concurrency
Caching
(Redis)
Rate Limiting
API Optimization
Message
Queues
gRPC & Protobuf
GraphQL
PyTest
JUnit
TDD
🟪 System Design & High-Performance
Apache Kafka
🟩 Databases & Infra
PostgreSQL
MongoDB
Redis
Elasticsearch
DB Internals
MVCC
Query Planning
Partitioning
Storage Engines
Data Pipelines
Observability
🟧 AI & Automation Systems
OpenAI
GPT-4o
Google
Gemini
Function-Calling Agents
LLM Orchestration
RAG/Embeddings
Automation
Async Agents
Voice
Systems
🟨 Cloud & DevOps
AWS
Terraform
Docker
Kubernetes
CI/CD
IaC
OpenTelemetry
Distributed Tracing
Deployment
Autoscaling
Service
Mesh
Experience
My professional journey.
Founder & Developer
Jobstats.fyi · Remote
- Built real-time analytics platform visualizing 15K+ interview submissions from 3.7K+ candidates.
- Designed ingestion pipelines (Discord harvesting, ETL into MongoDB, Redis caching) with Flask API.
- Added full observability with Datadog RUM and custom dashboards to track ingestion lag and API latency.
Associate Software Development Engineer
Draup · Bengaluru, India
- Draup: $20M+ ARR AI-Driven Sales/Talent Intelligence Platform trusted by 5 of the Fortune 10 for actionable market intelligence.
- AI & DevTools: Built an internal AI agent (AutoGPT-based) similar to Claude Code to automate code fixes via SonarQube reports, handling complex indentation and syntax correction.
- System Design: Architected a dynamic query framework and boolean filtering engine (nested conditions), reducing new feature development time by 80%.
- Scale: Led migration of 100+ APIs from PostgreSQL to Elasticsearch, achieving 5x faster aggregations and 400% query optimization.
- Infrastructure: Implemented subscription-based access control and reduced platform downtime from 4% to 1% using Datadog & AWS CloudWatch.
- Core Features: Engineered critical modules including Talent Metrics, Account Insights, and Digital Tech Stacks, delivering actionable business intelligence.
Backend Engineering Intern
Draup · Bengaluru, India
- Optimization: Cut image load times by 70% using Redis caching and delivered a technical talk on caching strategies to the engineering team.
- Observability: Reduced incident response time by 30% by setting up Datadog monitoring pipelines.
Research Assistant
Dayananda Sagar College of Engineering
- Patent (IN 202341086278): Co-inventor of "Myocardium Wall Motion and Wall Thickness Mapping" (Filed Aug 2024), developing visual maps to correlate wall motion, thickness, and fibrosis from cine-series MRI scans.
- Algorithm Design: Developed custom algorithms to calculate wall thickness and interpolate indistinct pixels using angular intersection methods.
- Optimization: Enhanced performance by 60x using GPU acceleration (CuPy) and multiprocessing (ThreadPoolExecutor) to process high-res DICOM images.
- Impact: Identified reduced wall motion in heart disease patients and integrated a fibrosis map for comprehensive cardiac analysis.
Featured Projects
What I've been building.
Real-Time AI Voice Assistant
Full-stack AI assistant handling two-way voice calls via Twilio & GPT-4o with sub-500ms latency.
View CodeJobStats Analytics
Distributed scraping pipeline capable of tracking 50K+ postings/day with 99.9% uptime.
View CodeIntelligent Agent System
Multi-LLM framework using GPT-4 & Gemini with Discord integration.
View CodeLinkedIn Assist
Chrome extension for real-time job filtering using GPT-3.5 and vector search.
View CodeButterDB
Buffered B-tree implementation in C++ combining SQL reliability with NoSQL write speeds using log-structured buffers.
View CodeSecret Hitler AI
AI-powered game with 5+ GPT-5 agents that bluff, deduce, and strategize. Features personality-driven table talk.
View CodeStackOverflow Clone
Full-stack Q&A platform with voting, commenting, and reputation systems using React, Node.js, and MongoDB.
View CodeSilent Disco Streaming
Real-time audio streaming solution using WebSockets and Python to stream system audio to multiple devices.
View CodeMapReduce Analysis
Parallelized grade analysis system for large datasets using Python's multiprocessing and MapReduce paradigm.
View CodeBlue Bike Rental
Bike rental platform with Azure database hosting, Digital Ocean backend, and React frontend.
View CodeStock Portfolio Manager
Java-based application for managing stock portfolios with MVC architecture and 100+ JUnit tests.
View CodeEnigma Machine
Python simulation of the Enigma Machine with rotor configurations. Published as a PyPI library.
View CodeLet's Work Together
I'm currently open to new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Boston, MA, USA | +1 (857) 707-1671