Resume — Sid Bakkireddy

Education

Indian Institute of Technology (ISM) Dhanbad Expected Jul 2026

B.Tech — Electrical Engineering · CGPA: 7.55 · Dhanbad, Jharkhand

Relevant Coursework: Data Structures & Algorithms (C++), OOP, Computer Networks, DBMS, Operating Systems, Soft Computing, Probability & Statistics.

Experience

Apart Research Jun 2024 – Dec 2024

AI Safety Research Fellow / Lab Member · London, United Kingdom

Analyzed 1,200 GPT-3.5 responses (15,000+ data points) to detect deceptive "sandbagging" behavior. Engineered a scoring algorithm in Python (Pandas / Hugging Face) to quantify metadata patterns (response time, token usage).
Discovered and documented a 25% reduction in token usage during deceptive outputs; co-authored a research paper on AI safety metrics and operational efficiency.

Zetheta Algorithms Private Limited Apr 2025 – Jun 2025

AI Software Engineer Intern · Remote

Developed Python modules to parse resume data and engineered LLM prompt templates to dynamically generate technical interview questions mapped to candidate skills.

Projects

Graph-Based Optimization & Learning for EV Allocation | Python, PennyLane, Qiskit Advised by Prof. Sukanta Halder

Formulated an EV routing QUBO model using Graph Attention Networks to compress urban grid data into quantum-compatible embeddings.
Engineered a hybrid QAOA and Grover-style filtering pipeline to prune incompatible stations, reducing total fleet wait times by ~25% while maintaining 100% success rate under load.

Leveling Up IRL (Gamified Productivity) | React, TypeScript, Firebase, GCP

Shipped a full-stack gamified productivity app turning habits into RPG quests; validated product-market fit with 30+ active users via a scalable Firebase/GCP backend handling real-time state updates.

Multi-Agent Market Research System | CrewAI, Python, Tavily API, Streamlit

Orchestrated a CrewAI multi-agent workflow (Researcher, Analyst, Collector) leveraging Tavily API to automate industry profiling and dynamically generate actionable GenAI use cases per sector.

Yelp: Sentiment Analysis & Business Intelligence | Python, XGBoost, Scikit-learn, Pandas

Developed a predictive pipeline for 8M reviews (71% precision via VADER); applied XGBoost and Logistic Regression to 200k+ data points to identify statistical patterns correlating with business success.

Technical Skills

Languages & Frameworks: C++, Python, JavaScript, TypeScript, SQL, React, Bash, PyTorch, Qiskit.
Tools & Concepts: DSA, OOP, Operating Systems, Machine Learning, Deep Learning, Linux, GCP, CrewAI, Firebase, Git/GitHub, Scikit-learn, Pandas, NumPy.

Achievements

Won 3rd place ($300 prize) in the Global AGI Deception Detection Hackathon by Apart Research — earned a 6-month AI Safety fellowship.
Selected as Judge for the Global AI Manipulation Hackathon to evaluate advanced AI research.
Rated Expert on Codeforces (1642) and Knight on LeetCode (1875).
Secured a Global Rank of 675 in Codeforces Round 185 (Rated for Div. 2).
Published the Brainstellar Progress Tracker Chrome extension to track quant interview logic puzzles.

Social Engagements

Organizer: Showcased EV Charging prototype to the Secretary at IIT Dhanbad, Sponsorship team at Concetto (Tech Fest).
Sports: Swimming (State Level), Football (Captain), Consistent Podium Finisher in 5K Races.