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Vetted Regression Testing Professionals
Pre-screened and vetted.
Hemanth Katikala Muniraj
Intern Robotics Software Engineer specializing in ROS2 autonomy and LiDAR localization
“Robotics software engineer focused on production-grade autonomous mobile robot (AMR) navigation in warehouse-style environments, with deep hands-on ROS2/ROS Noetic experience across SLAM, AMCL/NDT LiDAR localization, and Nav2 integration. Strong in real-time debugging and performance tuning using rosbag-driven regression workflows, plus containerized deployment (Docker/Compose) and distributed robot/edge-device communication via MQTT/REST.”
Arianna Hofmeister
Director-level Product Leader specializing in logistics SaaS and AI workflows
“First product hire at ColdTrack who helped transform a 3PL into a technology company by building ColdTrack Live, a proprietary cold-chain parcel optimization OMS now backed by $10MM in tech investment. Unusually hands-on across product, UX, QA, and AI automation, with proven impact in logistics operations, client growth, and human-centered AI workflow design.”
Himanshu Kiran Garud
Mid-level Software Engineer specializing in full-stack systems and applied AI
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Tanweer Ashif
Mid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps
“Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.”
VAISHNAVI KOTHAMIRKAR
Mid-level Business Analyst specializing in banking, pharma, and enterprise systems
“Analytics professional with hands-on experience spanning enterprise supply chain data and workforce analytics. They’ve worked on a Manhattan Active WMS implementation for a pharmaceutical client integrating MAWM, JD Edwards, and Boomi, and also built SQL/Python/Tableau solutions for BankUnited/FIU to standardize retention and engagement reporting. Strong fit for roles requiring messy data wrangling, KPI operationalization, and stakeholder-trusted dashboards.”
Alireza Razinejad
Senior Frontend Architect specializing in Angular, React, and FinTech web platforms
“Fullstack engineer who has personally architected and implemented entire systems, including a clinic patient management platform and multi-tenant product capabilities. Stands out for combining domain-driven design with hexagonal architecture to keep fast-changing products maintainable, and for shipping customer-facing improvements that increased user satisfaction and helped drive revenue growth.”
“Game QA professional experienced in live production pipelines with daily builds and sprint cadence, emphasizing LKG-based verification/regression, smoke/BVT stability checks, and disciplined backlog closure. Known for isolating low-repro gameplay/system defects using video evidence and logs, and for streamlining team workflows through standardized JIRA/Azure DevOps templates and data-driven quality feedback to designers/engineers.”
Pravallika Chidipudi
Mid-level QA Engineer specializing in API and automation testing
“QA automation engineer focused on backend/API quality who owned an end-to-end API regression suite and integrated Cypress/JS automation into GitLab CI with smoke-vs-nightly regression gating. Caught a critical auth security regression (expired tokens returning 200 instead of 401) before production and is strong in stabilizing flaky tests using network interception and actionable CI reporting.”
fahliyanto prasetyo
Mid-level QA Engineer specializing in digital banking mobile and web testing
“QA professional with experience spanning mobile/web applications plus API and backend behavior testing, using Jira and TestRail along with exploratory/regression and compliance-focused verification. Describes a structured approach to meeting tight deadlines by breaking work into modules, estimating test execution timelines, and using AI tools to accelerate documentation and analysis when test case volume is high. No direct console testing or TRC/XR/LOT certification experience yet, but has a compliance-testing foundation.”
Himani Soni
Mid-Level Frontend Engineer specializing in React and real-time dashboards
“Frontend engineer focused on building and maintaining an internal React component library with strong emphasis on performance, accessibility, and developer experience. Has hands-on experience improving a slow network dashboard by refactoring heavy UI data processing to reduce re-renders, and supports users by reproducing issues, diagnosing bottlenecks, and clearly communicating fixes.”
Isha Harne
Intern Software Engineer specializing in ML applications and LLM platform engineering
“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”
Gugun Ruhyat
Mid-level QA Engineer specializing in manual and API automation testing
“No hands-on console game testing experience, but reports being fairly familiar with console certification frameworks (Sony TRCs, Microsoft XR, Nintendo LOT) and can articulate key compliance areas (network, save data, performance/stability, legal/regional, DLC). Uses AI tools in day-to-day QA work to refine database queries and test cases, and prioritizes production issues first under deadline pressure.”
syifa layla
Entry IT Testing Automation Engineer specializing in banking QA and Google Cloud
“QA professional with a web and backend API testing background pivoting into console game QA; brings strong exploratory/regression testing, test case creation, and detailed bug reporting. Familiar with PlayStation/Nintendo UI patterns and gameplay flows as a long-time player, and is proactively preparing to learn console certification standards (Sony TRC, Microsoft XR, Nintendo LOT).”
Jonathan Grebe
Mid-level Robotics Software Engineer specializing in ROS, C++ and embedded Linux
“Robotics software lead at Icor who grew from intern to owning the end-to-end software lifecycle for a mobile manipulator platform deployed to 300+ customers globally. Deep hands-on ROS2/MoveIt2 and navigation-stack integration (URDF/TF, sensors, behavior engine) plus production infrastructure (CI/CD, OTA, field OS upgrades) and real-world performance tuning for motion planning in EOD multi-robot environments.”
Tanisha Pradeep Bhola
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”
LAKSHMI KATTAMURI
Mid-level Embedded Software Engineer specializing in RTOS and microcontroller firmware
“Backend/embedded-focused engineer with hands-on experience designing real-time, memory/power-constrained firmware architectures and also building Python/FastAPI services. Demonstrates strong production rigor across migrations (strangler pattern, shadow reads, feature flags), security (OIDC/JWT, RBAC/ABAC, Postgres RLS), and robustness for async workflows (idempotency, event ordering, state machines).”
Aishwarya Chand
Mid-level ML Engineer specializing in LLMs, RAG, and real-time AI systems
“AI engineer focused on production-grade LLM systems rather than prompt-only solutions, with hands-on experience building citation-grounded RAG products and multi-agent workflows. Most notably built a financial document intelligence system for SEC filings and contracts that achieved ~92% recall@5, cut latency below 2 seconds, reduced hallucinations, and turned analyst research from hours into seconds.”
Navyanth Bollareddy
Junior Full-Stack Software Engineer specializing in React/Node, cloud, and LLM-powered automation
“Master’s program project lead who built and deployed a real-time sound recognition system (Flask + React Native + ML) that was adopted by 200+ university students. Demonstrates strong production engineering and cross-layer debugging—solving latency, unreliable uploads, and observability gaps using microservice separation, chunked/idempotent transfers, and packet-capture-driven network diagnosis—plus AWS/on-prem and IoT edge-to-cloud integration experience.”
Neeraj Kondaveeti
Junior Full-Stack Software Engineer specializing in MERN and data/AI applications
“Early-career CS/data professional with hands-on experience integrating analytics dashboards into a production MERN system, including a Redux state redesign and schema validation that delivered zero-downtime release and measurable performance gains (~30% faster APIs, 25% faster reporting). Previously a data analyst at Reliance Jio, where they extended Python-based reporting pipelines (CSV/MySQL) with automated validation and anomaly detection to improve KPI dashboard reliability and cut investigation time by ~30%.”
Harsh Patel
Senior Data Scientist specializing in LLM applications, RAG systems, and production ML
“Senior Data Scientist in consulting who has built production RAG systems for insurance/annuity document search at large scale (100K+ PDF pages), emphasizing grounded answers, guardrails, and low-latency retrieval. Experienced in end-to-end MLOps for LLM apps—monitoring, evaluation sets, drift handling, and safe rollouts—and in orchestrating complex pipelines with Prefect/Airflow and deploying services on Kubernetes.”
Shreya Thakur
Mid-level Software Engineer specializing in Python backend and LLM/ML systems
“Backend/AI engineer who has shipped production LLM systems end-to-end, including an AI request-routing service (FastAPI + BART MNLI + OpenAI/Gemini) that improved accuracy ~25% after launch via eval-driven prompt/category iteration. Also built an enterprise document intelligence/RAG platform on Azure (Blob/SharePoint/Teams ingestion, OCR/NLP chunking, embeddings in Azure Cognitive Search) with PII guardrails (Presidio), confidence gating, and scalable event-driven pipelines handling millions of documents.”
Navya Kesani
Mid-Level Full-Stack Software Developer specializing in Java, Spring Boot, and cloud-native web apps
“Former Wipro engineer who contributed to an open-source JavaScript utility library focused on frontend validation/formatting, including adding a cross-browser date-formatting module. Experienced in OSS maintenance (bug fixes, PR reviews, docs), performance profiling/benchmarking (Chrome DevTools, Node.js performance hooks), and improving community support workflows with issue templates and diagnostic logging.”
Akhila Chitturi
Mid-level Embedded Software Engineer specializing in real-time control and automated testing
“Master’s thesis researcher building an intelligent fault diagnosis and predictive maintenance stack for autonomous quadcopters—covering simulation-based fault injection, signal processing (Id/Iq), ML fault classification, and real-time edge deployment on Raspberry Pi with Hailo-8 acceleration. Previously delivered production C++ middleware/microservices at Accolite and has hands-on experience with constrained networking via a LoRaWAN IoT communication stack.”
Tracy Nguyen
Mid-Level Software Engineer specializing in Front-End Web Development
“Frontend engineer with React + TypeScript experience building internal dashboards and a nonprofit festival website delivered end-to-end in 6 weeks. Emphasizes scalable quality practices (documentation ownership, code reviews, CI/CD, testing) and user-centered delivery, including accessibility, multilingual support, and enabling non-technical stakeholders to update content.”