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Vetted SQL Professionals
Pre-screened and vetted.
Mahesh Kumar Duvvuri
Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems
“Backend/infra engineer with experience across Nestle, J.P. Morgan, and Capgemini, combining ML systems work (YOLOv8/PyTorch object detection with TFLite edge deployment) with production-grade cloud/Kubernetes operations. Has delivered measurable impact via AWS migrations (25% cost reduction, 99.9% availability), microservice modernization (35% faster processing), and low-latency Kafka streaming for financial dashboards (<100ms) using DLQs and idempotent consumers.”
Bhavya Sree Ganja
Senior Data Engineer specializing in cloud lakehouse platforms and streaming analytics
“Data engineer focused on fraud and banking analytics who has owned end-to-end batch + streaming pipelines at very large scale (hundreds of millions of records/day). Built robust data quality/observability layers (schema validation, anomaly detection, alerting) and delivered low-latency serving via AWS Lambda/API Gateway with DynamoDB + Redis, plus external data ingestion/scraping pipelines orchestrated in Airflow with anti-bot protections.”
Edward Robinson-Adams
Executive cybersecurity and AI leader, CEO/co-founder specializing in enterprise SaaS and strategy
“Operator who took a seed-funded university spin-off in cybersecurity from zero revenue and heavy losses to profitability and industry leadership, while building the full internal ops stack (HR/payroll/benefits/401k) and the initial GTM engine (Salesforce/HubSpot, SPIN + MEDPICC). Personally led fundraising across 30+ VC pitches, raising $11.2M total and delivering $98M returned to investors to date, with additional upside from a subsequent spin-off.”
Abhinav Gupta
Junior Machine Learning Engineer specializing in LLMs and applied data science
“Built and shipped multiple production AI systems, including Auto DocGen (LLM-generated OpenAPI docs kept in sync via AST diffs, schema-constrained generation, and CI/CD on Render) and a multimodal sign-language recognition pipeline at USC orchestrated with FastAPI, MediaPipe, and PyTorch. Also partnered with Esri’s non-technical community team to fine-tune an LLaMA-based spam classifier with a review UI, cutting moderation time by 70%.”
Ajay Madhusudhan Thumala
Junior Software Engineer specializing in data engineering and LLM applications
“Computer science engineer and master’s graduate who independently built a mechatronics-heavy capstone prototype: a smartphone concept for deafblind users using micro-actuator arrays for braille reading. Also has platform engineering experience at Quantiphi, deploying webhooks to Kubernetes and implementing GitOps-based CI/CD using AWS CodeCommit/CodeBuild and ECR.”
Nikhil Soni
Junior AI/ML Engineer specializing in LLM systems and retrieval-augmented generation
“Built and deployed a production LLM-powered market intelligence and decision-support platform for noisy, real-time financial data, using a high-throughput embedding + vector DB RAG architecture to reduce hallucinations while keeping latency and cost low. Operated it at scale with GPU-backed inference (continuous batching/quantization), FastAPI on Kubernetes, and Airflow-orchestrated ingestion/embedding/retraining workflows, with strong schema-based reliability and monitoring.”
Karan Variyambat
Mid-level Machine Learning Engineer/Researcher specializing in computer vision and multimodal AI
“Developed a production wildfire smoke detection system where smoke is visually subtle and easily confused with fog/clouds; addressed this with a hybrid CNN+LSTM+ViT model and multimodal weather features to reduce false positives. Experienced running scalable, reproducible ML pipelines on shared GPU infrastructure using Slurm and Kubernetes-style batch jobs with checkpointing, retries, and rigorous error analysis.”
Ruthvik Bacha
Mid-level Data Engineer specializing in financial data pipelines and reliability
“Systems/robotics-oriented software engineer focused on real-time orchestration and reliability: built a central control layer coordinating multiple concurrent agents with safe state machines, failure isolation, and recovery. Has hands-on ROS/ROS 2 integration experience in simulation (DDS/QoS, lifecycle, nodes in Python/C++) and emphasizes observability (structured JSON logs, correlation IDs) and low-latency control-loop performance under load.”
Aditya Jhaveri
Mid-level Software Engineer specializing in AI, big data, and distributed systems
“Software Developer at NYU (GEMSS) focused on scaling and optimizing a data-heavy asset management web app, including migrating/optimizing data access via Google Sheets API and Firestore. Previously an SDE at Sainapse working on Spring Boot microservices POCs (Kafka, Hadoop at 2B+ record scale). Built an end-to-end Apple Wallet coupon generation/redemption system using PassKit + Google Apps Script with measurable ops impact (40% efficiency gain).”
Sanjana Duvva
Mid-level AI/ML Engineer specializing in Generative AI, LLMOps, and MLOps
“Built and deployed an AWS-based LLM/RAG ticket triage and knowledge retrieval system (Pinecone/FAISS + Step Functions + MLflow) that cut support resolution time by 20%. Demonstrates strong production focus on hallucination reduction, PII security, and low-latency orchestration, with measurable evaluation improvements (e.g., ~25% grounding accuracy gain via re-ranking) and proven collaboration with support operations stakeholders.”
Jen-Hung Chang
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
“Backend/platform engineer who built an AI RAG system on FastAPI/Postgres/AWS with 10+ microservices, vector search optimization (ANN + two-stage re-ranking), and GitOps-driven CI/CD that cut deploy time from hours to minutes. Also deployed Java identity services on Kubernetes at TSMC for 200K+ users using ArgoCD/Azure Pipelines, and built a reliable real-time IoT pipeline (MQTT/Node/MongoDB) with strong consistency controls.”
Nishantkumar Asodariya
Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting
“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”
Venkata Phaneendra
Mid-Level Java Full-Stack Developer specializing in cloud-native microservices
“Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).”
Jhansi Bendi
Senior Software Engineer specializing in cloud-native microservices and event-driven systems
“Senior engineer/tech lead with 18+ years building large-scale distributed applications, specializing in performance and reliability improvements. Recently owned multiple apps on an email personalization team, shipping major optimizations (including a push-update feature and audience-count architecture redesign) that reportedly lifted system performance from ~50% to ~99% while also leading code standards, reviews, and mentoring.”
Akshaya Chiduruppa
Mid-level Quality Assurance Engineer specializing in AI/ML and Apple ecosystem testing
“QA automation engineer with end-to-end ownership of a regression suite for a warehouse loan management platform (.NET/Angular), using Selenium (Java/Cucumber/POM) and Cypress. Improved suite stability and expanded risk-based coverage (DB/API/SQL, RBAC approval workflows), catching critical financial defects like EMI calculation errors and cutting regression effort by ~50% while gating releases via GitLab CI/CD with actionable Slack reporting.”
Harmeet Singh
Senior Game Economy & LiveOps Manager specializing in monetization and progression systems
“Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.”
Poojitha MaheshShyla
Mid-level Java Backend Developer specializing in cloud-native microservices
“Backend-leaning full-stack engineer with Walmart experience building and operating high-volume media upload and processing systems. Strong in Java/Spring Boot, Postgres performance tuning (EXPLAIN/ANALYZE), and durable workflows using Kafka/Spring Batch with retries and idempotency, plus production ownership via monitoring and optimization; familiar with Next.js/TypeScript and modern React performance patterns.”
Manasa Mangipudi
Mid-level Machine Learning Engineer specializing in NLP and computer vision
“AI/ML engineer with production experience building an LLM-powered resume-to-job matching and feedback product using RAG, with a strong focus on latency, hallucination control, and scalable deployment. Experienced orchestrating ML inference and backend services on Kubernetes and applying rigorous evaluation/guardrail practices; also partnered with business/product stakeholders at Walmart to improve an NLP-based supplier support system.”
Bhargava Mantena
Mid-level Ad Operations & Programmatic Manager specializing in omnichannel activation
“Performance marketer with hands-on ownership of high-spend CPG accounts ($70K–$98K/month) across programmatic channels (display, video, CTV, DOOH) and full-funnel planning across Meta/Google/YouTube/TikTok. Known for structured testing roadmaps and pragmatic budget shifts (PMP vs open exchange) that delivered measurable lifts in CPA, CTR, and conversion rate, including turning around a stalled account within weeks. Open to either full-time or contract work, with a preference for contract roles.”
Bhanu Prakash Reddy Dakilli
Mid-level Data Engineer specializing in Azure ETL/ELT and data warehousing
“Data engineer who has owned end-to-end production pipelines for customer transaction data (~2–5 GB/day) using Python/PySpark/SQL and Airflow, delivering major reliability and speed gains (70% faster reporting; 60–70% fewer data issues). Also built a daily external web-scraping system with anti-bot handling and safe, idempotent Airflow-driven backfills, plus a Python data API optimized with indexing/caching and tested for correctness.”
Neelu Vibhuti
Senior Full-Stack Software Engineer specializing in secure FinTech and networking apps
“Full-stack engineer with experience shipping production features in both networking (Cisco: ACL object groups, 3G/4G) and fintech/online banking (PLAID, Auto Pay, OLB, membership qualification). Works primarily with React/Java/Hibernate and REST/JSON, emphasizing caching/memoization for UI performance and strong testing/XP practices to maintain quality under faster release cycles.”
Ishaan Nanal
Intern-level Software Engineer specializing in backend systems and AI/ML
“Built and shipped an LLM-powered RAG research copilot used by 20+ users across biology, physics, and ML, cutting literature review from days to minutes. Strong focus on production reliability—iterated on chunking/retrieval/prompting, added validation and modular pipelines for debuggability, and is now containerizing and scaling the system with Docker and GCP.”
Deepthi Mundarinti
Mid-level Data Engineer specializing in real-time analytics and regulated domains
“Data platform engineer focused on large-scale, real-time fraud systems, with hands-on ownership of streaming architectures using Kafka, Spark, Snowflake, and Databricks. Stands out for combining performance tuning and platform automation with LLM/RAG-based enrichment, delivering measurable gains in latency, fraud accuracy, false positives, and analyst decision speed.”
Ashok Reddy Kalli
Mid-level Business Analyst specializing in BI, reporting, and data insights
“Healthcare analytics professional with experience at UnitedHealth Group, focused on turning messy claims, eligibility, and provider data into clean reporting datasets and Power BI dashboards. Combines SQL and Python automation with strong stakeholder alignment around KPI definitions, helping operations teams improve claim turnaround visibility and cost efficiency.”