.png){kind=logo}
Vetted MySQL Professionals
Pre-screened and vetted.
Valeriy Filin
Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision
“Backend/infrastructure engineer with experience across API development (FastAPI/MySQL/SQLAlchemy), Kubernetes deployments, and large-scale data processing—built a Dockerized Python pipeline to pre-aggregate ~1B Graylog events for efficient querying. Has enterprise infrastructure automation background at Hewlett Packard Enterprise (Datafabric) using Terraform/Ansible with fail-fast and rollback practices, plus Kafka-based sensor streaming prototypes to Google Cloud with Java workers and autoscaling.”
Ashank Dsouza
Senior Full-Stack Software Engineer specializing in cloud-native web platforms
“Engineer with startup experience who emphasizes disciplined Agile execution (requirements analysis, Jira tasking, sprint planning) and production readiness (testing/QA/PR review). Uses profiling/logging for high-observability debugging and prioritizes incidents by impact. Has demoed engineering processes and worked directly with a client (Canadian music service) to position product capabilities and future extensions to drive adoption.”
Rahul Solleti
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps
“Backend/platform engineer focused on real-time financial fraud detection and transaction monitoring, building low-latency FastAPI + Kafka systems with strong reliability patterns (DLQs, idempotency) and cloud observability. Has hands-on Kubernetes delivery across AWS EKS and Azure AKS with automated CI/CD and GitOps-style deployments, plus experience migrating legacy C# / Java monoliths to containerized microservices using Terraform/ARM and zero-downtime rollout strategies.”
Sanjana Akula
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Front-end engineer with experience at Optum and Wells Fargo maintaining internal React/Angular component libraries and design-system-aligned UI modules used across multiple apps. Known for stabilizing shared libraries via semantic versioning, Jest test automation, and high-quality documentation, plus measurable performance wins (≈40% faster dashboard loads) through profiling-driven React and API optimizations.”
Sivapriya Rachakonda
Mid-Level Software Engineer specializing in cloud-native microservices on AWS and Kubernetes
“Backend engineer who built a stateless Python/Flask service supporting a healthcare-document ETL pipeline, offloading heavy processing to Celery workers and adding strong observability (metrics, structured logs, audits). Demonstrates practical performance/reliability work: batch chunking, priority queues, autoscaling by queue depth/CPU, DLQ routing, and PostgreSQL tuning (indexes, pagination) to cut slow API responses. Also has experience deploying real-time ML classification via TensorFlow Serving behind a FastAPI wrapper and integrating models via REST/gRPC.”
Wafi Hassan
Intern Software Tester specializing in SQA automation and backend API validation
“Software engineer with medical-domain experience at Philips focused on end-to-end systems integration and reliability, including integrating C# xUnit automated test suites with backend services and CI-driven staging deployments. Also built a Python/scikit-learn typing speed analyzer integrating data collection, model training, and a real-time user interface; interested in transferring this systems/debugging rigor into robotics despite no ROS/robotics project experience yet.”
Mo Arab
Executive Technology Leader specializing in Cloud, Managed Services & AI/LLM integration
“Engineering/technology leader with experience at Evocative and through a merger with Hivelocity, aligning tech roadmaps to managed services growth. Led multi-region self-hosted cloud and automation initiatives that cut delivery time from days to hours/minutes and informed cost-saving infrastructure decisions (reported $500K OPEX savings). Known for scaling teams with pod ownership, agile/intake governance, and disciplined rollout practices that protect uptime and security.”
Harini KanakapuraRavishankar
Mid-level Full-Stack & Integration Engineer specializing in Insurance APIs
“Hands-on engineer focused on taking complex/LLM-style workflows from prototype to production, emphasizing robust error handling, CI/CD + Docker deployment, and deep observability (Kibana/Rancher/Grafana). Experienced customizing client integrations and data transformations (XML/JSON/PDF to SFTP) and debugging agent workflows with traces, prompt verification, and human-in-the-loop safety controls. Partnered with product/ops to drive adoption, including a MuleSoft migration that improved partner onboarding speed by ~50%.”
Tyler Stroud
Executive Engineering Leader specializing in AdTech and scalable cloud platforms
“Engineering leader with experience in small, bootstrapped startups and exposure to VC environments, currently pursuing CTO-level opportunities. Thrives in fast-iterating, high-uncertainty settings and emphasizes data-driven clarity plus strong problem/market validation when evaluating new ventures.”
Luis Felipe Tovar Bardales
Mid-level Video Game Producer with QA and game engine (Unity/Unreal) background
“Core QA team member at 2K Madrid who supported AAA titles including The Quarry, WWE 2K22, and NBA 2K22. Specialized in high-risk online/co-op testing (multi-device, parallel playthroughs) and complex narrative decision-tree validation, while acting as a key communication bridge across QA teams in China and the US using Jira/Confluence/Kanban.”
AneeshReddy Kusa
Junior Full-Stack Software Engineer specializing in React and FinTech
“Full-stack engineer with banking-domain experience (Cognizant/Kotak) building and optimizing high-usage transaction/account APIs on Spring Boot/Node/PostgreSQL in AWS/Docker, including peak-load performance fixes. Also built an end-to-end retail demand-forecasting feature during a master’s program, spanning data pipelines, ensemble models, dashboards, and operational guardrails like validation and fallbacks.”
Freddy Hajas
Principal Gameplay Designer/Programmer specializing in FPS/TPS systems and AI
“Long-time Call of Duty mod/game-mode creator (Call of Duty Frontlines/Rio) who designed 40+ gametypes, including “Swarm” later released officially as MW3’s Team Defender. Known for deep tuning/balance iteration and for overcoming engine constraints (e.g., expanding limited model slots via load-time model merging to ship large amounts of new weapons/vehicles/enemies). Currently building an UE5 game (Comando Rio) on Lyra, implementing custom audio systems and camera/movement features, collaborating with Gooseman (Counter-Strike creator).”
Shital Agarwal
Senior Software Engineer specializing in backend, microservices, and full-stack web development
“Software engineer who delivered a dynamic service-fee system for a Belgian online grocery e-commerce platform by carving out a Spring Boot microservice from a monolith, integrating Google distance APIs, Redis caching, and CI/CD for production rollout. Also built an OpenAI-powered university chatbot with agent/workflow orchestration during academia, emphasizing availability and fallback behavior.”
Butchi Venkatesh Adari
Mid-level Machine Learning Engineer specializing in LLM platforms and robotic perception
“Built and shipped a production multi-agent personal financial assistant at AlphevaAI on AWS ECS, combining FastAPI microservices, Redis/SQS orchestration, and Pinecone-based hybrid RAG (semantic + BM25) to ground financial guidance. Improved routing accuracy with an embedding-based SetFit + logistic regression intent classifier feeding an LLM router, and optimized UX with live streaming plus cost controls via model tiering and caching.”
Surya Danturty
Intern AI/ML Engineer specializing in computer vision and time-series forecasting
“Undergrad who built a production RAG chatbot for a messy college website using OpenAI embeddings + FAISS, overcoming hard-to-crawl/non-selectable site content and strict API budget limits. Applies information-retrieval best practices (section-based chunking with overlap, precision/recall evaluation) and reliability techniques (edge-case testing, similarity thresholds, fallback responses), and has experience scaling similar indexing work to ~300,000 Wikipedia pages.”
Tejasri Alla
Mid-level Full-Stack Python Developer specializing in banking microservices
“Built and led production LLM-agent systems in enterprise environments (Simmons Bank, Mindtree), automating support ticket triage end-to-end with strong reliability engineering (99.9% uptime, Prometheus/Grafana, ECS autoscaling, CI/CD rollback). Demonstrated clear business impact (55% faster handling, SLA compliance 72%→96%, 800+ hours saved/month, +18% CSAT) and mature eval/feedback loops that improved extraction accuracy by 21%.”
RIYA CHADDHA
Mid-level Data Engineer and Business Analyst specializing in cloud ETL and analytics
“Data analyst with cross-industry experience spanning insurance analytics at L&T Infotech and experimental imaging analytics at Mylyser. Stands out for building scalable SQL/PySpark data pipelines, standardizing business-critical metrics like claims lifecycle and policy retention, and delivering measurable impact such as 50%+ faster query performance and a 15% reduction in claims settlement time.”
Sailesh Kumar Kishorekumar Lekha
Intern Software Engineer specializing in cloud, full-stack, and AI systems
“Built a production LLM-assisted workflow for customer configuration data migrations, combining agentic parsing with deterministic validation and fail-safe pipeline design. Stands out for turning messy ERP and operational data into reliable, repeatable transformations while improving accuracy and cutting manual effort by more than 80%.”
Dharani Rasaputhra
Mid-level Data Analyst specializing in FinTech and e-commerce analytics
“Analytics professional with experience spanning financial services and e-commerce, including NAV reconciliation/reporting at State Street and revenue optimization work on checkout and retention. Stands out for combining strong SQL/Python data engineering with business-facing analytics, delivering measurable gains like 3-5% conversion improvement and 8-10% payment success uplift.”
“Backend-focused engineer with banking-domain deployment experience who has owned releases end-to-end, from discovery and API/database implementation through post-launch stabilization. Brings a reliability-first mindset across distributed systems, incident response, and messy real-world data handling, and has also applied that foundation to retrieval-based LLM workflows in production-oriented cloud environments.”
Niramay Kelkar
Mid-level Backend Engineer specializing in APIs, microservices, and data platforms
“Software engineer who built JobIntel, an end-to-end Python ETL pipeline integrating ATS data from platforms like Greenhouse using Scrapy and FastAPI. Stands out for production reliability work: designing async fault-tolerant architecture, optimizing PostgreSQL write-heavy upserts, and building a Prometheus/Splunk observability stack that cut debugging from hours to minutes.”
Ishika Khokhani
Mid-level Software Engineer specializing in AI systems and distributed platforms
“Built OpenGPU features spanning React/TypeScript, Go orchestration, PostgreSQL, Redis, and Stripe, with a strong focus on reliability, transaction integrity, and low-latency distributed systems. Also shipped LLM product infrastructure, including persona-conditioned frameworks and reusable prompt/model abstractions, showing a blend of systems engineering and fast product iteration.”
Keerthi Basam
Mid-level Software Engineer specializing in AI/ML for FinTech and Healthcare
“Built and deployed an end-to-end fintech product, FinSight, for bank statement analysis and financial Q&A using a production-style RAG architecture. Stands out for combining FastAPI, OpenAI embeddings, FAISS, hybrid SQL/vector retrieval, and practical reliability work like chunking optimization, validation, and low-latency performance tuning.”
Chaitanya Annabathana
Mid-level Software Engineer specializing in AI pipelines and enterprise integrations
“Candidate has 4 years of experience and appears strongest in customer-facing implementation and AI-enabled workflow automation. They describe owning deployments end-to-end, putting an LLM support assistant with RAG and function calling into production, and improving support operations with a 30% reduction in resolution time and 25% gain in agent productivity.”