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Vetted Python Professionals
Pre-screened and vetted.
Sarthak Vinayaka
Mid-Level Full-Stack Software Engineer specializing in enterprise AI, data pipelines, and scalable APIs
“Forward-deployed engineer/tech lead who built an end-to-end demand planning and forecasting application for a major US steel manufacturer, integrating Snowflake data into the C3 platform with batch/MapReduce workflows, monitoring, and a React/TypeScript UI. Also productionized an enterprise LLM integration with structured outputs and authorization guardrails, reporting +30% stakeholder engagement and broad adoption across customer deployments.”
Shram Kadia
Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms
“Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.”
CLEVELAND DEAR
Senior Game Designer specializing in systems, progression, live ops, and AI
“Level designer/gameplay systems designer who shipped on Squid Game Unleashed, taking ownership of bot navigation and a dynamic bot-profile system to keep matches flowing and bots feeling human via telemetry-driven tuning (Tableau/heatmaps). Also built a lightweight minigame variant/rules framework to rapidly ship fresh live-service content with minimal engineering/art overhead, and has live-ops economy/event design experience from MyVegas Bingo.”
Lizhuoyuan Wan
Junior Game Designer/Unity Developer specializing in systems and combat design
“MMORPG numerical/economy designer who built and tuned a dual-currency system (gold/agate), progression gates, and late-game sinks using quantitative models (including exponential curves) and telemetry segmentation by player level/assets. Implemented engagement drivers like roguelike repeatable dungeons and weekly leaderboard rewards, and partnered cross-functionally to resolve economy risks such as item tradability to keep outputs stable and controllable.”
Mathew Martin
Mid-level Software Engineer specializing in cloud data platforms and LLM applications
“LLM/agent builder with experience shipping production LLM features at an early-stage ed-tech mental wellness startup (conversation analysis + structured feedback via FastAPI, OpenAI API, Render, CI/CD). Also built a multi-step dining concierge agent using OpenSearch over Yelp data with fallback query relaxation, and has enterprise data engineering experience at Capgemini migrating databases to Snowflake with robust ETL normalization and data-quality handling.”
Sushma Mangalampati
Mid-level Data Engineer specializing in lakehouse ETL and analytics engineering
“Data engineer with strong end-to-end ownership of production lakehouse pipelines (Snowflake + Databricks + Airflow + dbt + Great Expectations), handling 8M+ records/month and 500K+ daily CDC updates. Delivered measurable reliability and efficiency gains (41% cost reduction, freshness improved from 4h to 30m, 35% fewer downstream incidents) and has experience building a lakehouse platform from scratch across 12 source systems.”
Zhiwen Zhao
Junior Data Engineer specializing in cloud ETL and big data platforms
“Data engineer focused on transit/transportation datasets, building Spark-based pipelines that ingest from Oracle/APIs, apply PySpark data-quality fixes, and publish star-schema fact tables to Azure Data Lake. Experienced troubleshooting complex Spark failures (using checkpointing to manage long lineage) and operating Airflow-driven backfills and GitLab CI deployments for production DAGs.”
Yash Rangucha
Mid-level Software Engineer specializing in backend microservices and real-time streaming
“Built and owned an end-to-end LLM-powered enterprise retrieval pipeline at ServiceNow, spanning ingestion of structured/semi-structured sources through vector retrieval and real-time API serving. Focused heavily on reliability and quality (multi-stage validation, monitoring, evaluation pipelines) while also driving performance improvements (~35% faster responses) via caching, async processing, and SQL/query optimization.”
Cuichan Wu
Junior Full-Stack Software Engineer specializing in scalable, AI-powered web apps
“Frontend-leaning engineer with production React experience and hands-on Next.js App Router patterns (Server/Client Components, Route Handlers, caching/revalidate decisions). Has built internal sales dashboards and optimized both React UI performance and SQL Server-backed analytics queries, and previously created an onboarding framework at Adobe that evolved into a configurable, multi-team reusable platform in a lean environment.”
Raj Kalwar
Mid-level Full-Stack Java Engineer specializing in FinTech and digital payments
“Built and shipped an LLM-powered support assistant for a fintech payment reconciliation system that automated failed-transaction analysis at scale. Delivered measurable production outcomes (40% less manual reconciliation, 25% better detection accuracy, 99%+ uptime) and implemented strong reliability patterns (Prometheus/Grafana monitoring, retries/fallbacks, idempotency, Resilience4j circuit breakers) plus iterative retraining driven by real error analysis.”
Adam Safran
Engineering Director specializing in platform modernization, microservices, and cloud reliability
“Former founder (ran a custom web development shop in Los Angeles) with extensive startup experience and a solid working understanding of the VC ecosystem. Helped build and scale a team at Turo from founding member to ~10 people, and is motivated by ownership, impact, and originating ideas—interested in the venture studio model and disciplined about rapid validation and execution.”
Zhen Ge
Senior Fixed Income Investment Associate specializing in floating-rate credit
“Fixed-income investing professional who applies a sourcing-funnel mindset to broker and counterparty coverage, with hands-on experience sourcing and screening non-TLAC FRN opportunities. Stands out for turning consistent relationship management, clear investment criteria, and fast feedback loops into real pipeline and capital allocation outcomes, even without direct founder-call experience.”
Kishore Koduri
Director-level Enterprise Architecture leader specializing in AI and platform transformation
“Entrepreneurial candidate with deep technology expertise who has already acted as a founder/principal across a real estate venture and early-stage tech startups. Most notably, they raised approximately $1-2M for a real estate project and describe hands-on ownership from ideation and business case development through ROI validation and investor commitment.”
Barbara Christina Cruze
Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics
“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”
Matt McStravick
Director-level security leader specializing in multi-cloud and cloud-native security
“Current Riveron professional with prior startup experience at Quizlet who performs M&A security assessments for VC-backed acquisitions, while also co-founding a private company on the side. Particularly notable for attracting a16z investment interest but intentionally declining funding to preserve equity, board control, and product vision.”
Ansh Parikh
Junior Software Engineer specializing in full-stack and machine learning
“Full-stack web developer with experience owning products from client discovery through launch and post-launch iteration, including a complete freelance build for an interior design firm and a large-scale React/TypeScript migration during an internship at Gateway Ticketing Systems. Stands out for balancing strong visual design with performance and SEO, and for improving emergency-use UX in an MVP product through flow simplification and A/B testing.”
Lahari Nandigani
Mid-level Business Analyst specializing in healthcare and retail analytics
“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”
Yeshwanth Vudugu
Mid-level Data Analyst specializing in banking and product analytics
“Analytics engineer/data analyst with Bank of America experience turning fragmented financial data across SQL Server, PostgreSQL, Kafka, and flat files into trusted Snowflake/dbt reporting models. Stands out for unifying disputed business definitions like churn and payment success rate, automating manual analysis in Python, and pairing strong data quality rigor with stakeholder adoption through self-service dashboards.”
Veselin Yovchev
Senior Unity Developer specializing in game development and interactive media
“Unity/C# game developer with hands-on experience shipping lightweight, analytics-driven gameplay systems across WebGL, multiplayer, VR, and mobile. Particularly notable for building a cloud-backed character builder with asset-bundle streaming and cross-device persistence, and for creating reusable level design tooling that improved design speed by 2.5x.”
Jamie Cook
Senior Machine Learning Engineer specializing in AI search and recommendation systems
“Built internal production LLM tools for engineering and support, including a customer-health assistant and a RAG-based incident explainer grounded in logs, metrics, and deploy data. Stands out for combining strong GenAI safety/evaluation practices with pragmatic backend engineering, delivering measurable impact like a 40% drop in data-help requests and answers in seconds instead of minutes or hours.”
Naincy Chovatiya
Mid-level Sales Operations Analyst specializing in revenue operations and analytics
Preeti Pandey
Senior AI/ML Engineer specializing in predictive analytics and NLP
“ML/AI engineer with hands-on experience building production healthcare AI systems across predictive modeling and GenAI. They built an end-to-end patient risk prediction platform and a RAG-based clinical summarization feature, combining strong NLP/LLM skills with AWS deployment, monitoring, drift detection, and reusable Python service design to deliver measurable clinical and operational impact.”
Mohamed Hamidi
Mid-level Software Engineer specializing in payments and FinTech
“Backend engineer with strong payments and high-stakes transaction experience, including owning an Apple Pay/Google Pay integration via Stripe end-to-end in production for 100,000+ users. Particularly compelling for teams that need someone who can balance speed, security, and reliability in checkout or other sensitive backend workflows, and who has hands-on incident ownership in production.”
Vamsi Reddy
Mid-level AI/ML Engineer specializing in healthcare and financial ML systems
“ML/AI engineer with hands-on experience shipping both predictive healthcare models and clinical GenAI assistants into production. They combine strong MLOps depth across Azure and AWS with healthcare-specific safety thinking, including PHI guardrails, retrieval grounding, and production monitoring, and they also built internal Python tooling for fraud ML workflows at Capital One.”