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Vetted C Professionals
Pre-screened and vetted.
Saicharitha Yanamandala
Mid-Level Software Developer specializing in Java, Cloud, and Microservices
“Backend/Python engineer who owned an end-to-end FastAPI + AWS internal natural-language document Q&A system (Textract extraction, embeddings/vector DB, LLM integration) with strong focus on reliability and latency. Hands-on with Kubernetes + GitOps (Argo CD, Helm, rolling updates/auto-rollback) and built/optimized Kafka streaming pipelines using Prometheus/Grafana. Also supported a zero-downtime on-prem to cloud migration with parallel run and gradual traffic cutover.”
Arthi R
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Backend engineer with fintech/banking experience (e.g., Canara Bank) building secure Python/Flask microservices for financial reporting and unified data access. Strong in Postgres/SQLAlchemy performance optimization (including materialized views) and in productionizing ML services on AWS (Lambda/ECS/CloudWatch) with Docker, model registries, and blue-green deployments, plus multi-tenant isolation via JWT-based middleware.”
Sanjay Mandru
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and real-time analytics
“Software engineer who built a reusable React component package (UI modules, auth helpers, API client wrappers) for an AI SaaS background-removal project, emphasizing performance (tree shaking/dynamic imports) and reliability (Jest + Storybook). Also delivered a unified REST API for Samsung Big Data Portal, resolving cross-team issues by standardizing schemas, improving validation/logging, and operating effectively amid shifting requirements.”
Aayush Anand
Intern Full-Stack/Software Engineer specializing in web apps, cloud, and data/ML systems
“Built and productionized LLM-driven content intelligence/SEO agents for a high-traffic media platform, automating tagging/summarization/metadata with FastAPI + async orchestration and strict JSON-schema outputs. Demonstrated measurable impact (40% faster publishing, +20% organic traffic in 3 months) and strong reliability practices (offline evals, shadow mode, canaries, fallbacks, idempotency, and monitoring).”
Matthew Penner
Intern Software Engineer specializing in systems programming and web development
“Entry-level candidate who built an air-traffic-control (ATC) simulation game in Rust, using a tick-based loop to model real-time behavior. No hands-on robotics/ROS experience yet, but has foundational software development tooling experience with GitHub and Linux/Vim.”
Connor White
Junior Machine Learning Engineer specializing in GPU-accelerated computer vision
“Robotics software lead from Texas A&M Aggie Robotics who built WoopLib, a SLAM-based vision/navigation library using PID pure pursuit. Has hands-on ROS/ROS2 and Jetson Nano experience integrating Intel RealSense (T265/D435i) with wheel odometry for accurate state estimation, including compiling deprecated sensor support from source and optimizing by moving to Python with C++ bindings and serial streaming to a microcontroller.”
Sujith Julakanti
Junior MLOps Engineer specializing in LLMs and cloud infrastructure
“Built a production multimodal LLM system (Gemini on GCP) to automate behavioral coding of family-involved science experiment videos, including preprocessing for inconsistent lighting/audio and LangGraph-orchestrated parallel workflows. Also developed rubric-based AI grading workflows and partnered closely with non-technical education stakeholders through explainability-focused walkthroughs and manual-vs-AI evaluation alignment.”
Keerthi Kalluri
Senior Full-Stack & GenAI Engineer specializing in healthcare and financial services
“Built and deployed a production LLM-powered customer support assistant using a RAG backend in Python, focused on deflecting repetitive Tier-1 tickets and reducing resolution time. Demonstrates strong production engineering instincts around reliability (confidence scoring + human fallback), scalability/cost optimization (multi-stage pipelines), and workflow orchestration/observability (LangChain, custom DAGs, structured logging, step metrics).”
Niharika Bhasin
Intern Full-Stack Software Engineer specializing in AWS serverless and real-time web apps
“New-grad/early-career engineer who led high-stakes modernization of a field-operations platform from Firebase to AWS using an incremental/dual-write strategy, achieving zero downtime and ~30–32% infra cost reduction while improving scalability. Also built and productionized an AI-native code assistant (LangChain + Pinecone RAG) with measurable online metrics and safety guardrails, and has experience working directly with CEO/CTO/CPO and embedded with customer teams to ship enterprise features quickly.”
Eric James
Senior Game Developer specializing in Unity, gameplay systems, and blockchain features
“Unity/C# gameplay engineer who has owned and shipped modular progression/rewards/inventory systems, including a separated blockchain integration layer that drove higher engagement while keeping performance stable at scale. Also implemented AI behaviors with Unity ML-Agents using a training/inference separation approach, and has hands-on experience debugging platform-specific state issues during console certification across multiple shipped platforms (mobile/console/PC/WebGL).”
Keith Filzen
Executive CTO specializing in government/defense cybersecurity and cross-domain solutions
“Former Cubic CTO with direct M&A experience on the company's sale to Veritas Capital, and prior investment analysis experience at In-Q-Tel. Brings a rare blend of executive technology leadership, compliance/security depth, and investment diligence expertise focused on government and military markets.”
Anthony Thanpoovong
Entry-level Software Engineer specializing in cloud, AI, and full-stack development
“Backend/AI engineer with hands-on experience building LLM-powered data products and AI platform workflows, including a project that turns tabular datasets into graphs, summaries, and chat-based insights with 1-2 second latency. Also contributed at TELUS to a Sovereign AI Factory self-serve onboarding platform tied to 100+ NVIDIA H200 GPUs, giving them an interesting mix of applied LLM, platform, and infrastructure exposure.”
Yuchen Wang
Intern Software Engineer specializing in full-stack development and AI/ML
“Built and maintains an AI Finance Tracker end-to-end as a solo full-stack product owner, from Figma designs and React frontend to Flask APIs, Firestore, auth, deployment, and AI insights. Stands out for combining product instinct with pragmatic engineering decisions like pre-aggregating financial data to control LLM costs and adding OCR receipt scanning based on real user feedback.”
Apoorva Swaminathan Iyer
Mid-level Software Developer specializing in full-stack engineering and application security
“Developer who has evolved into an AI-native builder, using Claude, Copilot, Cursor, and multi-agent workflows as collaborators while retaining ownership of architecture and code quality. At OpenPRA, they ramped quickly into NestJS from a Spring Boot background and implemented OAuth/JWT security; on the Aha quiz app, they effectively acted as a tech lead for AI agents across feature delivery, debugging, CI/CD, and Dockerization.”
JawaharSai Nathani
Mid-level Software Engineer specializing in AI backend and LLM systems
“Founding engineer at an edtech startup who combines hands-on engineering leadership with advanced AI-native development workflows. They’ve built an AI grading pipeline and a multi-agent SDLC tool, and stand out for treating AI agents like an engineering team with planning, parallel execution, QA, and rigorous validation.”
Benjamin Yee
Entry-level Software Engineer specializing in full-stack AI and FinTech applications
“Entry-level backend engineer currently building AI infrastructure for a legal-tech product, including message APIs between frontend and LLMs and MCP-based integrations to enterprise legal systems. Stands out for owning backend components end-to-end in an ambiguous early-stage environment and for resolving a critical pre-demo bug under intense time pressure.”
Etienne Lagace
Junior Software Engineer specializing in cybersecurity and embedded systems
“Software engineer with unusually mature AI-native development practices, using Claude/GPT/Copilot across requirements, implementation, testing, and documentation. At Anzenna, they effectively acted as a tech lead for a multi-agent setup spanning four repos, creating specialized agent workflows and maintaining top-level cross-repo documentation to coordinate complex work.”
Yasasswi Katta
Mid-level Full-Stack Software Engineer specializing in distributed systems and AI-enabled platforms
“Full-stack engineer with experience at Wipro and Cisco building real-time monitoring and observability platforms from scratch. Stands out for combining streaming/data-pipeline depth (Kafka, Fluentd, Elasticsearch, Redis) with strong React/TypeScript frontend execution, and for delivering measurable impact such as cutting troubleshooting time by nearly a third.”
Rishabh Goyal
Mid-level Software Engineer specializing in backend microservices and FinTech
“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”
Saikrishna Chandhrasekhar
Entry-Level Software Engineer specializing in systems, web development, and applied cryptography
“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”
Chuangyu Xu
Entry-Level Software Engineer specializing in Java backend and distributed systems
“Built and shipped a production AI mock-interview platform where an LLM “interviewer” generates role-specific questions, runs multi-turn follow-ups, and outputs structured scoring/feedback using RAG. Demonstrates strong production-readiness practices (Prometheus/Grafana monitoring, retries/timeouts, fallback models/templates, schema validation, replay-based debugging) and achieved 99%+ availability with ~40% higher session completion. Also has experience integrating agents with messy SAP/ERP-style data sources using a data middleware layer, cleaning/validation, and idempotent write safeguards.”
Mid-Level Software Engineer specializing in Full-Stack, Cloud, and Generative AI/LLMs
Junior ML Systems Engineer specializing in distributed ML and simulation