Sankirth Kalahasti

Software Engineer

Brooklyn, New York, United States2 yrs 11 mos experience

Highly Stable

Key Highlights

Built scalable backend platforms for multi-tenant applications.
Developed innovative solutions in embedded systems at Honeywell.
Pursuing advanced studies in machine learning and cloud computing.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Embedded Systems.

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Skills

Core Skills

Backend DevelopmentFull-stack DevelopmentEmbedded SystemsAutomation

Other Skills

PostgreSQLPrismaRedisAuth0AWS ECSReactC++PythonOpenCVTesseractJSONHigh Performance Computing (HPC)Machine LearningCloud ComputinggRPC

About

Hi, I'm Sankirth Kalahasti and i'm a graduate student at NYU Tandon pursuing an M.S. in Computer Engineering, with a strong foundation in backend engineering, cloud infrastructure, and applied machine learning. My work spans secure microservice architectures, LLM-integrated systems, and full-stack applications deployed at scale. Most recently, I interned at RootAccess.ai, where I: • Built a scalable, multi-tenant backend platform from scratch using PostgreSQL, Redis, and Docker • Integrated secure Auth0 authentication (M2M + native flows) across services • Deployed a remote MCP server to support AI-assisted embedded workflows using Altium/Nexar APIs • Refactored the React frontend to improve latency, UX, and developer onboarding Separately, I’m building PennyWise, a micro-investing platform that rounds up spare change into ETF purchases. The platform features: • Modular microservices (Express.js + PostgreSQL + Redis + Kafka) • gRPC communication and MCP-based context access for an LLM-powered chatbot • Auth0-based OAuth2 + RBAC + 2FA flows • CI/CD pipelines deployed on AWS EKS following DevSecOps principles I also developed a full-stack cruise booking platform for a fictional travel company using Django, React, MySQL, and Redis, supporting secure role-based access for customers, agents, and admins. Currently enrolled in advanced coursework including High-Performance Machine Learning, Deep Learning, Cloud Computing, and Internet Architecture. Open to opportunities in backend engineering, AI infrastructure, and distributed systems.

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

Current Experience

Tiny archives

Software Engineer Intern

Jan 2026 – Present · 4 mos

Root access

Software Engineer

Jun 2025 – Aug 2025 · 2 mos · New York, New York, United States

As a software engineer intern at Root Access I worked on the following:
1. Implemented a retrieval-augmented generation (RAG) pipelineusing Boundary’s BAMLfor structured semantic search and prompt validation, reducing hallucinations in hardware specification generation and improving output consistency for engineering workflows.
2. Built and deployed a multi-tenant backend with PostgreSQL + Prisma, Redis caching, and Auth0 authentication, deployed on AWS ECS for pilot customers including Mitsubishi and East West Manufacturing.
3. Refactored React frontend with useContext and useMemo, enabling streaming responses and dynamic layouts, which reduced onboarding defects by 40% and response latency by 30%.
4. Automated hardware design synchronization via a containerized MCP serverwith an XML netlist parser and Altium/Nexar API integration, enabling real-time component updates across active projects.

PostgreSQLPrismaRedisAuth0AWS ECSReact+2

New york university

Graduate Assistant

Oct 2024 – Present · 1 yr 7 mos · New York, New York, United States

As an Awareness Assistant, I support the IT Office of Global Privacy and Data Strategy (GPDS) at NYU by contributing to global awareness campaigns aimed at enhancing data security and privacy practices across the university. I assist in developing targeted messaging and outreach initiatives that engage the NYU community on critical topics such as data protection and compliance with privacy regulations.
In this role, I collaborate with cross-functional teams, help create communication materials (e.g., presentations, reports, and surveys), and contribute to strategy development for privacy campaigns. Additionally, I support the Enterprise Architecture team by maintaining the application inventory, aligning technology investments with business goals, and assisting with various projects to ensure smooth operations.

Honeywell

2 roles

Embedded Engineer I

Aug 2021 – Jul 2024 · 2 yrs 11 mos

As an Embedded Engineer at Honeywell, I developed and contributed to innovative solutions that enhanced product testing, automation, and system performance. Key achievements include:
1. Developed a C++ emulator based on the LoRaWAN technology stack, addressing critical component shortages and enabling timely testing for a new product.
2. Led the automation of Centralized Fault Display System (CFDS) verification using Python, OpenCV, and Tesseract, improving efficiency in the testing process.
3. Designed and implemented a performance test application for Experion PKS DCS, significantly enhancing stability testing and reliability.
4. Created a Python testbed audit tool using Pandas, improving testing dependency validation and reducing post-release defects.
5. Managed the software testing lifecycle, verifying over 300 defects and achieving a notable reduction in post-release defects.
6. Championed automation initiatives that streamlined processes and reduced manual effort, contributing to improved product reliability.

C++PythonOpenCVTesseractEmbedded SystemsAutomation