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Vetted Python Professionals
Pre-screened and vetted.
Shrinivas Bhusannavar
Mid-level AI Engineer specializing in agentic LLM systems and RAG platforms
“Built and shipped Serrano AI, a multi-tenant SaaS conversational AI platform that automates Odoo ERP workflows and lets ops/finance/supply-chain teams query ERP data in natural language. Implemented a multi-agent architecture (LangChain/LangGraph/CrewAI) with hybrid RAG over ERP schemas, deployed on Heroku/Vercel with production observability, cutting reporting time by ~80% while addressing hallucinations, latency, and schema complexity.”
Shivani Bhosle
Junior UX/UI and Visual Designer specializing in research-led B2B product design
“UX/Product designer with end-to-end experience on AI-driven products, including EduWave AI (learning platform for kids, parents, and teachers) and FlairX/Flarex AI (interview automation and AI scoring/benchmark reporting). Known for translating complex backend logic into clear, story-driven dashboards and validating designs through rapid prototyping and direct user observation; targeting founding design engineer roles in San Francisco.”
Abhiram Yakkali
Entry-Level Embedded Firmware Engineer specializing in real-time systems
“Embedded/bare-metal engineer with hands-on sensor performance work: built a real-time profiler for a LiDAR system that tracked CPU/core usage and pixel buffer metrics to quickly identify and validate fixes for bright-light performance issues. Also has Ethernet/UDP device communication experience plus Docker and CI test-suite overhaul work to run sensor functionality tests on every commit.”
Emmanuel Bakwowi
Senior DevSecOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
“Cloud/DevOps engineer operating across AWS and Azure, running Kubernetes workloads with secure CI/CD (GitHub Actions/Azure DevOps) and Terraform IaC. Has supported AIX/PowerHA systems in hybrid environments—handling failover testing, incident recovery, and performance troubleshooting (including multipath/storage-path issues)—and has led cutovers by managing dependencies, rollback, and stabilization.”
Bhavishyasai Chigurupati
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Supriya Thorat
Mid-level Software Engineer specializing in full-stack web and cloud automation
“Full-stack TypeScript/Angular/Node engineer who owned a production healthcare application for a pharmaceutical client, supporting 100K+ monthly users across 10+ countries. Strong focus on maintainability and quality (reusable localized component library, ~90% unit test coverage, SonarQube in CI/CD) plus performance work (reported 15% client-side latency reduction and up to 50% backend latency reduction) while migrating legacy mobile code with strict backward compatibility.”
Umair Khokhar
Director-level Engineering Leader specializing in AI Platforms for Enterprise B2B SaaS
“Technical leader/player-coach who architected and shipped an end-to-end computer vision pricing system for a major North American auto seller, using Go + Ray + AWS SageMaker in a low-latency distributed inference architecture. Strong in production governance (logs/tracing/guardrails/AppSec), reliability incident ownership (DNS limits affecting 20% traffic), and measurable delivery acceleration (deployment cycle 16→4 days; delivery speed 5→2 days) through process optimization and AI-assisted enablement.”
BhanuPrakash Akepogu
Mid-level Full-Stack Engineer specializing in FinTech systems
“Full-stack engineer with strong fintech/financial-systems experience who built an automated reconciliation and reporting system end-to-end (Python/Django/FastAPI + React, Docker on AWS), cutting reconciliation time by ~25% and improving audit traceability. Experienced designing typed REST APIs and Postgres data models, operating production workloads on AWS (EC2/Lambda/RDS/DynamoDB/CloudWatch), and building reliable ETL/integration pipelines with idempotency, retries, and reconciliation.”
Sawyer Porte
Junior Game Designer specializing in systems, combat, and multiplayer gameplay
“Game economy/progression designer who owned the end-to-end progression system for an idle auto-battler (“Non-Order”), including multi-currency sources/sinks, upgrade pricing curves, and meta-progression. Uses spreadsheet modeling plus playtest/telemetry-driven iteration to address pacing and agency issues (e.g., adding a minigame, click-to-damage, and player skill tree) to reduce progression friction and improve replayability.”
Jarin Tasnim
Staff/Lead Software Engineer specializing in distributed data and ML platforms
“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”
Rupini Polavarapu
Senior DevOps Engineer specializing in AWS cloud infrastructure and CI/CD automation
“AWS platform/infra engineer with hands-on ownership of EKS cluster lifecycle (upgrades, node scaling, networking/ingress, and EBS-backed stateful storage) and reliability validation using Datadog plus CI/CD smoke tests. Also supported on-prem VMware environments and operated a hybrid on-prem-to-AWS setup over site-to-site VPN, including incident response and implementing change-controlled firewall processes and proactive connectivity health checks.”
Cory Pendergraft
Director-level software engineering leader specializing in aerospace and defense systems
“Experienced contractor-side capture and program leader with a decade supporting a drone program and navigating highly structured government and prime-contractor funding environments. Brings a disciplined, compliance-heavy approach to business development and is especially drawn to smaller, mission-focused companies where the purpose is clearly defined.”
Ido Avnon
Junior Software Engineer specializing in AI, geospatial, and full-stack applications
“Early-stage startup engineer with experience at pre-seed and roughly Series A-stage companies, including Rage Events Inc. Shipped production full-stack features with Next.js/TypeScript, designed Postgres-backed workflow systems, and took ownership of post-launch support and fixes in fast-moving environments.”
Caleb Heo
Senior Finance & Investment Analyst specializing in TMT, valuation, and quantitative strategy
“VC deal-sourcing professional with Sutton Capital experience who combines quantitative tooling, alternative data, and thesis-driven founder outreach to surface under-the-radar startups early. Distinctive for building Python-based sourcing and tracking engines, converting cold outreach into qualified deal flow, and pairing relationship-building with rigorous unit economics analysis for partner-level investment decisions.”
Aryaman Srivastava
Intern Software Engineer specializing in backend, cloud, and machine learning
“Built practical automation systems spanning an NLP-based news classification pipeline and a WhatsApp interaction agent. Shows strong instincts around production reliability—using structured outputs, schema validation, idempotency, retries, and clarification flows to prevent bad actions in real-world messaging workflows.”
Jeet Patel
Junior AI and Backend Engineer specializing in LLM systems
“AI/LLM engineer who has shipped production RAG copilots and multi-agent workflows, including a real-time Llama3 (Ollama) copilot backend handling 12k+ concurrent queries at 99.9% uptime. Deep on orchestration (Langflow/Airflow/Kubernetes), reliability evaluation (hallucination detection, p95 latency, token cost), and monitoring (Prometheus/Grafana), with demonstrated stakeholder-facing analytics delivery via Tableau.”
Lavanya Nandan Deole
Intern software engineer specializing in AI, mobile, and distributed systems
“Entry-level candidate who built NYC Lens, a real-time Gemini-based multi-agent system that processes live camera input, identifies landmarks, and returns structured contextual insights. Despite being a fresher, they show hands-on experience with deployment on Cloud Run, modular orchestration, noisy-data handling, and reliability patterns like retries, fallbacks, and explicit state management.”
Aaron Rodrigues
Junior Business & Data Analyst specializing in FinTech and banking analytics
“Analytics professional with Travelex experience spanning SQL ETL, Python-based machine learning workflows, and Power BI dashboarding in risk, fraud, and AML contexts. Stands out for replacing a $150K+ third-party compliance tool with internal dashboards and for materially improving operational efficiency through alert tuning, cutting alert volume by 50% and false positives by 60%.”
Sahana Rajashekara
Junior Software Engineer specializing in full-stack and AI applications
“Full-stack product engineer with hands-on ownership of a B2B e-commerce catalog at Mphasis, spanning React/TypeScript, Java/Spring Boot, and Postgres, with strong evidence of performance tuning and UX improvement. Stands out for tracing production issues across layers, leading an Angular-to-React migration, and pairing product instinct with rapid AI prototyping—placing 2nd in an advanced AI hackathon.”
Shreya Reddy Palla
Mid-level Business Analyst specializing in healthcare data and application consulting
“Analytics professional with University of Florida experience in occupational health reporting, including bloodborne pathogen and needlestick exposure programs. Stands out for turning messy healthcare operational data into trusted, analysis-ready reporting assets using SQL and Python, while partnering closely with stakeholders to define reliable metrics and improve operational oversight.”
Aarit Shah
Junior B2B growth and business development professional in marketing analytics
“Sales candidate with experience spanning a CPD business and an enterprise AI SaaS platform, combining new-logo prospecting with account expansion and onboarding. Stands out for measurable revenue impact, including growing monthly B2B revenue 72%, reducing close time 30%, and using highly personalized, multithreaded outreach to win enterprise conversations and deployments.”
Bryan Jones
Mid-level Data Analyst specializing in analytics, budgeting, and sports data systems
“Baseball advisor/recruiter with a player-development lens shaped by his own injury experience, combining TrackMan-driven analytics with deep coach and program relationships. He has helped athletes navigate high-stakes draft, rehab, and college decisions, including identifying under-scouted talent like John Klein and supporting his path to the Twins' 40-man roster.”
Sai Mekapothula
Mid-level Business Analyst specializing in healthcare data and reporting
“Worked on a CVS Health project transforming large healthcare claims data from databases and APIs into clean reporting tables and Power BI dashboards. Brings hands-on experience in SQL, Python automation, data validation, and stakeholder-driven metric definition for analytics workflows.”
Anirudh Raj
Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines
“Early-career cloud/appsec-focused engineer with hands-on experience building secure, observable microservice systems on AWS (IAM least privilege, KMS encryption, Secrets Manager, CloudWatch, ALB) and troubleshooting autoscaling-related 500s down to connection pooling issues. Also deployed heavy ML workloads on Kubernetes by decomposing diffusion/transformer services, using workload identity to eliminate static credentials, and maintaining GitOps-style deployment audit trails.”