Vetted Operating Systems Professionals

“Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.”

Bhagyashree Patil

Screened

Intern Applied AI Engineer specializing in LLM systems and data engineering

Los Angeles, CA1y exp

“Full-stack engineer with hands-on production experience across both traditional SaaS and LLM-powered support tooling. They owned a real-time ecommerce order tracking dashboard that improved support response times by 40%, and helped ship an AI support assistant using the OpenAI GPT API that cut ticket handling time by 30% through strong prompt design, retrieval grounding, validation, and human-in-the-loop safeguards.”

Raj Kalantri

Screened

Intern-level Software Engineer specializing in AI/ML and full-stack development

Kolkata, India1y exp

“Built a sophisticated AI career counselor as a full-stack web app for early-career students, integrating React, Flask, Pinecone, and LLM inference into a stateful conversational product. Stands out for combining hands-on debugging of retrieval/embedding pipelines with strong browser-performance instincts and pragmatic UX iteration based on real user testing.”

“Student developer who co-built a browser-based task management app for students and busy individuals, going beyond a basic to-do list with categorization and urgency/importance-based sorting. Demonstrates solid front-end fundamentals in JavaScript, HTML, DOM optimization, CSS layout, and functional UI structuring.”

“Backend engineer who built and launched a warehouse locations/inventory microservice for Walmart, supporting a new product rollout with on-call war-room ownership and now running across all US distribution centers. Emphasizes reliability and correctness (background syncs, 2PC concepts, alerting) plus design-first API development in Python/FastAPI with OAuth/JWT and RBAC, and has led staged legacy-to-microservice migrations with continuous data integrity verification.”

“Software engineer with BitSight experience owning and revitalizing a critical internal Entity Management Portal (Django/React), clearing 30+ backlog items and boosting internal workflow efficiency ~40% through performance re-architecture (Redis caching) and disciplined testing. Also built a collaborative chore management platform (React/FastAPI) emphasizing responsiveness (optimistic UI) and scalability (connection pooling, Docker), and improved microservices security by centralizing secrets management with AWS Secrets Manager across multi-cloud environments.”

“Built and deployed a production real-time voice AI support agent that answers inbound calls, identifies callers, troubleshoots via a knowledge base, and automatically creates/updates tickets with escalation to humans when needed. Demonstrates strong reliability/latency engineering (streaming, schema validation, idempotency, DB constraints) and uses LangGraph state machines plus OpenAI Agents SDK for multi-agent routing, with KPI-driven testing and monitoring.”

“Built a live free-to-play web-based financial market simulation game (YouTube-channel stock market) as a hobby project, now serving 3000+ users. Implemented core F2P systems including gacha, timed progression gates, and analytics-driven monitoring of engagement and economy health using a TypeScript/Python stack with Redis and Postgres.”

“Embedded/software candidate who built an arcade-style game on a PSoC6 ARM microcontroller using FreeRTOS and custom peripheral/protocol drivers, ultimately completing the project as the sole developer. Also brings strong systems tooling exposure (Docker-heavy coursework, Kubernetes familiarity) plus internship experience at Accenture working with CI/CD-based validation and debugging in a client environment.”

“JavaScript/Node.js engineer with open-source contribution experience (Mongoose) focused on connection pooling, test reliability, and memory/resource management. Has diagnosed and fixed real-world performance issues in an insurance claims application and improved resilience via failover DB design. Also experienced producing compliance/governance documentation for an EU-based biopharma, enabling stakeholders to make decisions quickly amid changing regulations.”

“Full-stack engineer with early-stage startup experience who shipped and owned production Next.js (App Router + TypeScript) features end-to-end, including auth-aware APIs, caching, and post-launch monitoring/iteration. Demonstrates strong performance and reliability chops across React UX optimization, Postgres analytics modeling/query tuning (validated via query plans), and durable ingestion workflows with retries/idempotency.”

“Full-stack engineer who built an AI-driven document analysis and processing workflow end-to-end, including large-document ingestion, queued async processing, and low-latency retrieval for user-facing flows. Demonstrated practical performance tuning (moving heavy work off request path, polling, caching) and Postgres optimization validated with EXPLAIN ANALYZE, plus durable workflow resilience via retries and dead-letter queues.”

Nagaveda Sai Kumar Reddy Gajjala

Screened

Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud integrations

Richardson, TX4y exp

“Backend engineer with enterprise SaaS experience (Zoho) who owned an end-to-end cloud integration between Endpoint Central and ServiceDesk Plus, redesigning device onboarding across 64+ scenarios and building a fault-tolerant sync engine that recovered 100% failed transactions. Also built and operated production systems across the stack—FastAPI services with strong testing/observability, React+TypeScript portals, PostgreSQL performance tuning, and AWS deployments with real incident response (RDS CPU saturation resolved with zero downtime).”

Adhiraj Chadha

Screened

Junior Software Engineer specializing in AI, data, and full-stack applications

Amherst, MA3y exp

“Builder with a mix of backend engineering, product instinct, and startup execution: they shipped a legal BI platform from scratch that handled 1,000+ cases, cut reporting time 80%, and saved $30K annually. They also move quickly in ambiguous environments, from launching a roommate app across iOS/Android after user discovery to building a RAG system with a 50+ case evaluation suite and a cloud dev environment in under 48 hours.”

“Built production LLM tooling focused on reproducibility and verification by enforcing JSON schemas and using multi-step checks with tools like Firecrawl and Perplexity. Also implemented the containerized infrastructure layer for a 9-agent app on K3s, dealing with rolling updates and uptime, and has experience advising a non-technical builder on search grounding and LLM data-flow design.”

“Worked on a long-running, high-dependency production rollout in financial post-trade systems, delivering trade-booking functionality on post-trade feeds used by multiple downstream teams. Emphasizes cross-team/external-team coordination and extensive testing to avoid disruptions, with additional experience improving application reliability via VPN-based resiliency measures.”

Hiya Kothari

Screened

Intern Full-Stack Software Engineer specializing in AI/ML and cloud

San Francisco, CA3y exp

“Built a Python-based geospatial machine learning backend for PFAS contamination risk mapping, including reproducible feature pipelines, ensemble modeling, and a FastAPI layer for visualization/analysis. Emphasizes data integrity and robustness (CRS/coverage checks, fail-fast validation) and has led safe backend refactors using feature flags, idempotent backfills, and Postgres RLS for secure, queryable results delivery.”

“Built and deployed an LLM-powered financial/regulatory document analysis platform at State Street, combining fine-tuned transformer models with a RAG pipeline over internal knowledge bases. Owned the productionization stack (FastAPI, Docker, SageMaker, Terraform, CI/CD) plus monitoring for drift/latency/hallucinations, delivering ~40% faster analyst review and improved reliability through chunking/embeddings and grounding.”

Vansh Amara

Screened

Junior Software Engineer specializing in AI systems and robotics infrastructure

Madison, WI1y exp

“Robotics software engineer with hands-on ROS 2 experience building real-time perception/control infrastructure and multi-sensor fusion (radar/ultrasonic + GNSS/IMU) with deterministic latency and safety fallbacks. Debugged rover navigation drift via rosbag replay and timing analysis, improving state estimation by gating GNSS and switching to SLAM when GPS degraded. Also brings strong distributed-systems and build/CI tooling experience (gRPC/Protobuf, Docker, Bazel cross-compilation for ARM/RISC-V, GitHub Actions).”

Upal Kundu

Screened

Junior Security Engineer specializing in cloud security and DevSecOps

Fort Worth, TX3y exp

“Candidate has hands-on experience building and debugging cloud-based backend workflows across AWS and GCP, including a remote desktop deployment for HP, email-to-Google-Sheets automation, and AI/voice backend testing. They stand out for practical infrastructure troubleshooting, API integration work, and lightweight LLM application development with attention to latency, cost, and operational stability.”

“Early-career/new-grad candidate who built TrendScout AI, an evidence-first market intelligence agent that ingests messy news, extracts entities/events, builds a Neo4j knowledge graph, and answers questions via RAG with citations. Achieved ~95% retrieval relevance by combining ChromaDB semantic search with graph-based retrieval and validating outputs through human evaluation and guardrails to prevent hallucinations.”

Sai Naveen Reddy Reganti

Screened

Mid-level Full-Stack Engineer specializing in cloud-native FinTech and Healthcare systems

null4y exp

“Full-stack engineer working on customer-facing utility and banking platforms, with hands-on experience across React/React Native, Java/Spring Boot, Python/Django, AWS, and SQL performance tuning. Stands out for owning production systems end to end, improving CI/CD and deployment reliability, and delivering a measurable database optimization that cut CPU utilization from about 80% to 40%.”

“Customer-facing software engineer who builds configurable, extensible solutions under vague requirements (e.g., a bin-packing-style resource allocation feature) and iterates via frequent sandbox deployments and customer testing. Has hands-on experience integrating multiple shipping APIs, navigating outdated/unclear documentation, and resolving production issues quickly through log-driven debugging and safe rollback procedures.”

“Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.”